Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research.

As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.

As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults.

Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader’s discipline and a risk manager’s skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults.

Join our derivatives trading team and work on the key infrastructure that powers our product offering as well as trading systems. Work with a team with decades of experience in tech and finance to build the backbone of our high-performance derivatives trading strategies. You'll work close to trading, own critical infrastructure end-to-end, and ship systems that manage real capital in live crypto markets.

• Design, implement, and operate scalable distributed systems in production.
• Build low-latency and streaming systems for real-time and near real-time workloads.
• Develop data pipelines and ETL workflows for ingesting, transforming, and serving data.
• Build and maintain application services and APIs used by internal and external systems.
• Implement Web3 protocol integrations, including smart contract interactions and on-chain data ingestion via RPCs, logs, and indexers.
• Apply SRE principles to improve reliability, observability, and operational correctness.
• Participate in incident response, debugging production issues and driving root-cause fixes.
• Contribute to system design and code reviews, maintaining high engineering standards.
• Leverage AI-assisted development tools to improve productivity, code quality, and system understanding, while exercising strong engineering judgment.
• Write and maintain technical documentation for systems and workflows.

• 6+ years of professional software engineering experience.
• Strong proficiency in Python, Rust, and/or JavaScript/TypeScript.
• Experience building low-latency or high-throughput systems.
• Experience designing and operating scalable distributed systems.
• Hands-on experience with Web3 systems, including interacting with smart contracts and consuming on-chain data.
• Experience with streaming or messaging systems (e.g. Kafka, Pub/Sub).
• Experience with data storage systems (e.g. Postgres, ClickHouse).
• Experience deploying and operating software in cloud environments (e.g. GCP).
• Familiarity with containerized systems (Docker, Kubernetes).
• Understanding of SRE practices, including monitoring, alerting, and incident response.
• Strong understanding of security fundamentals (authentication, authorization, secrets management).

• Previous experience at financial or trading firms.
• Smart contract development experience (e.g. Solidity).
• Experience with workflow orchestration (e.g. Dagster).
• Experience operating systems with strict reliability or performance requirements.
• Exposure to infrastructure as code or CI/CD systems.

• Remote first - work from anywhere in the US & CAN!
• Competitive packages with the added opportunity for incentive-based compensation
• Regular in-person company retreats and cross-country "office visit" perk
• 100% paid medical, dental and vision premiums for employees
• Laptop provided
• $1,000 WFH stipend upon joining
• $100 per month reimbursement for fitness-related expenses
• Monthly reimbursement for home internet, phone, and cellular data
• Unlimited vacation policy
• 100% paid parental leave of 12 weeks
• Fertility benefits

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $165,000 - $205,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.  

#LI-Remote

About StarCompliance

StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. 

Role  

StarCompliance is looking for a senior, hands-on Data Operations & Migration Specialist to oversee our data feed operations and client data migration capabilities. This role combines technical leadership with day-to-day delivery, acting as a player coach who sets direction, unblocks issues, and still gets hands-on when it matters.

You will own the operational health of broker and client data feeds, lead complex data migration initiatives during client onboarding, and provide mentorship and technical guidance to engineers and analysts across both functions. Deep domain knowledge in financial services data, particularly regulated trading, transaction, or reference data, is critical. 

This role sits within the Enterprise Data function and works closely with R&D, Client Support Services, Professional Services, and Relationship Management to ensure client data is secure, accurate, compliant, and delivered on time. 

• Leadership Responsibilities 
• Provide technical and operational leadership across Data Operations and Data Migration functions. 
• Act as a player coach, balancing hands-on delivery with coaching, mentoring, and upskilling team members. 
• Set standards for operational excellence, data quality, documentation, and incident management. 
• Own prioritisation and workload planning across feeds and migrations, ensuring delivery commitments are met. 
• Serve as the escalation point for complex data issues, client escalations, and high-risk migrations. 
• Partner with Product, Engineering, and Professional Services to influence roadmap decisions and onboarding strategies.  
• Act as a trusted technical partner for internal teams and external stakeholders during onboarding and operational change. 
• Translate complex technical and data concepts into clear, actionable guidance for non-technical audiences. 
• Contribute to client-facing discussions where deep data or feed expertise is required. 

• Data Feed Operations Ownership 
• Oversee the delivery, maintenance, and evolution of StarCompliance’s broker and client data feed infrastructure. 
• Ensure secure setup and ongoing management of SFTP connectivity, access permissions, and encryption standards. 
• Own operational monitoring of daily and intraday feeds, proactively identifying trends, risks, and failure patterns. 
• Drive continuous improvement across feed automation, resilience, monitoring, and alerting. 
• Work closely with the wider Enterprise Data engineering team on feed-related enhancements and defect resolution. 
• Ensure platforms such as MoveIt and associated automation tooling are stable, well configured, and fit for scale. 

• Data Migration Leadership 
• Oversee the planning and execution of complex data migrations from third-party vendors into StarCompliance products. 
• Define and review migration strategies, data mappings, validation approaches, and cutover plans. 
• Ensure data integrity, accuracy, and regulatory compliance throughout the migration lifecycle. 
• Provide hands-on support for data analysis, transformation, and validation where required. 
• Oversee post-migration support, ensuring issues are resolved quickly and root causes addressed. 

• Strong experience in financial services, fintech, regtech, or similarly regulated data environments.

• Deep domain knowledge of financial broker feeds, file-based integrations, and operational data pipelines.

• Hands-on experience with SQL Server, including T-SQL for investigation and data validation.

• Strong understanding of ETL processes and tooling.

• Experience with secure file transfer technologies and encryption standards, including SFTP, PGP/GPG, and SSH.

• Proficiency in scripting and automation using tools such as PowerShell, Python, and SQL.

• Proven experience leading data operations or data migration initiatives in production environments.

• Ability to balance strategic thinking with hands-on delivery.

• Excellent problem-solving skills and calm decision-making under pressure. 

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.  
• Proven leader with 5+ years in data operations, data engineering, data migration, or related technical roles, ideally within financial services or compliance technology. 

• At StarCompliance, AI is not a side experiment or a specialist niche. We treat it as a practical capability that strengthens how we operate, scale, and deliver secure, high quality data services. 

• In Enterprise Data, we expect senior leaders to: 
• Use AI assisted tools to improve operational efficiency. 
• Stay informed about how AI can enhance data operations, migration strategy, and automation in regulated environments. 
• Apply AI thoughtfully, with strong awareness of data security, client confidentiality, regulatory risk, and cost. 
• Help the team adopt AI responsibly in day-to-day operations, without compromising control, traceability, or compliance standards. 

StarCompliance Background Checks

All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information.  To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.  

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws.

This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy.

Offshore CFO (Multifamily Real Estate) — Job Description

Overview

We are hiring a CFO to lead the finance and accounting function for a U.S.-based multifamily owner/operator. This role owns

financial statements, monthly close, cash management, budgeting/forecasting, reporting, and controls across multiple

properties and entities. The right candidate is tech-forward and excited to modernize finance through automation, AI, and APIdriven integrations.

Key Responsibilities

• Monthly close & financial statements: Own timely, accurate close and delivery of P&L, balance sheet, and cash flow

with supporting schedules.

• Reconciliations & controls: Ensure complete bank/GL reconciliations, AR/AP tie-outs, accruals, prepaids, CIP/fixed

assets, intercompany, and documented processes.

• Management reporting: Produce property/portfolio reporting including budget vs. actual, variance explanations, and

key operating KPIs.

• Cash management: Maintain daily cash visibility and a rolling 13-week cash forecast; manage payment cadence,

approvals, reserves, and liquidity planning.

• Budgeting & forecasting: Lead annual budgets and reforecasts (revenue, payroll, utilities, repairs, insurance, taxes,

CapEx).

• CapEx / renovation tracking: Track project budgets, spend, and ROI support (CIP and unit-level economics as

applicable).

• Lender / compliance support: Manage covenant reporting, lender deliverables, and coordination with CPAs/tax/audit

teams.

• Section 8 / Housing Authority & municipal compliance: Support affordable housing reporting and compliance (as

applicable), including coordination with Housing Authorities/cities, audits, and required documentation.

• Team leadership: Lead and develop offshore accounting staff (AP/AR/accountants); set SOPs, close calendar, and

review standards.

• Tech/automation leadership: Implement and optimize workflows using AI tools, automation, and API connections

across property management, accounting, reporting, and data pipelines.

Requirements (Must-Have)

• Minimum 8+ years of experience as a CFO (or senior finance leader) in real estate; multifamily strongly preferred.

• Expert in financial statements, close management, reconciliations, cash forecasting, and internal controls.

• Strong ability to deliver decision-ready reporting (budget vs. actual, variance analysis, KPIs).

• Bilingual proficiency: fluent professional English and Spanish (written and spoken).

• Property management software experience; ResMan preferred.

• Expense management software experience with Brex or Ramp; Brex preferred.

• Experience working with Section 8 programs, Housing Authorities, and municipal/city requirements (as applicable),

including compliance reporting and audit support.

• Strong understanding of real estate legal entities and structures (LLCs/LPs/SPVs), intercompany accounting, and

entity-level reporting.

• Tech-forward mindset: comfortable implementing automation/AI and working with APIs/integrations (no coding

required, but must be fluent with modern tools).

• Advanced Excel/Google Sheets skills; comfortable building standardized reporting templates and dashboards.

• Ability to work offshore with consistent overlap with U.S. business hours and days (ET/CT preferred).

Preferred

• Multi-entity consolidation, lender compliance/covenants, and renovation-heavy portfolios.

• Experience with BI/reporting tools (Power BI/Tableau) and modern AP/bill pay tools.

Working Model

• Remote / Offshore (LATAM preferred for timezone overlap)

• Reports to Ownership/CEO/Managing Partner; partners closely with Operations and Asset Management

Revinate is one of the largest and most innovative providers of direct revenue-generating solutions in the hospitality industry. Revinate's mission is to deliver hoteliers scalable direct revenue and profits from data-driven solutions that cultivate deeper relationships with guests. Revinate’s Direct Booking Platform helps capture, convert and retain guests with strategies and services that maximize direct booking revenue. This combination maximizes the lifetime value of each guest through personalized and targeted campaigns across the guest journey. Revinate Marketing has won 1st place for Hotel CRM & Email Marketing in the HotelTechAwards five years in a row!

About Us

Revinate is an innovative hospitality tech company that is revolutionizing how customers manage their operations and enhance the guest experience. Our solutions leverage advanced technology, data analytics, and automation to improve efficiency and drive customer happiness in the hospitality industry.  

The Opportunity

We are seeking an experienced and visionary Director, Data Engineering to lead our Data Platform initiatives. In this critical role, you will be responsible for defining the strategy, architecture, and execution of our end-to-end data ecosystem, encompassing data ingestion pipeline, operational data stores, our evolving data lakehouse, and robust data APIs. You will build and lead a high-performing team of data engineers, fostering a culture of innovation, collaboration, and operational excellence. This role requires not only deep technical expertise but also a strong understanding of how data can drive business value, including leveraging data science and machine learning to optimize our operations.

Key Responsibilities

Strategic Leadership: Define and execute the long-term vision and roadmap for our data platform, aligning with overall business objectives and technology strategy.

Team Leadership & Development: Recruit, mentor, and lead a talented team of data engineers, fostering their growth and ensuring best practices in data engineering.

Data Pipeline: Oversee the design, development, and maintenance of scalable and reliable real time data ingestion pipeline, ensuring data quality, accuracy, and timely delivery.

Operational Data Stores: Lead the architecture and management of our operational data stores, optimizing for performance, reliability, and accessibility to support critical business applications.

Data Lakehouse Development: Drive the strategic evolution and implementation of our data lakehouse, enabling unified data access, advanced analytics, and machine learning initiatives.

Data API Development: Champion the design and development of secure, performant, and well-documented data APIs to facilitate data consumption across various applications and user groups.

Data Governance & Quality: Enforce data governance policies, standards, and procedures to ensure data integrity, security, privacy, and compliance.

Operational Efficiency through Data Science/ML: Collaborate closely with data science and analytics teams to identify opportunities where data science and machine learning can be applied to optimize internal operations, automate processes, and improve efficiency within the data platform itself (e.g., predictive maintenance for pipelines, intelligent resource allocation).

Performance & Scalability: Ensure the data platform is highly performant, scalable, and resilient, capable of handling growing data volumes and complex analytical workloads.

Technology Evaluation: Evaluate and recommend new data technologies, tools, and platforms to enhance our data capabilities and stay ahead of industry trends.

Cross-Functional Collaboration: Partner effectively with engineering, product, analytics, data science, and business teams to understand data requirements and deliver impactful solutions.

Monitoring & Support: Establish robust monitoring, alerting, and on-call support processes for all data systems, ensuring high availability and rapid issue resolution.

• 10+ years of experience in data engineering roles, with at least 5 years in a leadership or management position overseeing data engineering teams.
• Proven track record of building and scaling complex data platforms from the ground up, or significantly evolving existing ones.

• Data Ingestion Pipelines: (e.g., Kafka, Flink, Spark Streaming, Airflow, equivalent cloud services like Kinesis, Pub/Sub, Dataflow)
• Operational Data Stores: (e.g., Cassandra, ScyllaDB, DynamoDB, PostgreSQL, MySQL)
• Data Warehousing/Lakehouse Technologies: (e.g., AWS, GCP, S3, Iceberg, Redshift, BigQuery)
• Data APIs & Services: (e.g., RESTful APIs, GraphQL)

• Strong proficiency in Java / ScalaExtensive experience with cloud data platforms (AWS, GCP) and their respective data services.
• Solid understanding of data modeling techniques (relational, dimensional, NoSQL).
• Literacy in Data Science and Machine Learning concepts:Familiarity with common ML algorithms and their applications.
• Understanding of the MLOps lifecycle and data requirements for ML models.Ability to identify and articulate how data science/ML can be used to improve data platform operations (e.g., anomaly detection in pipelines, resource optimization).
• Experience with implementing data governance, data quality, and metadata management tools and practices.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong analytical and problem-solving abilities, with a focus on delivering practical and scalable solutions.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field.

• Health insurance-employee premium paid 100% by Revinate
• Dental insurance-employee and dependents’ premium paid 100% by Revinate
• Vision insurance-employee and dependents’ premium paid 100% by Revinate
• 401(k) with employer match
• Short & Long Term Disability insurance
• Life insurance
• Paid Flex time off
• Monthly work from home stipend
• Telehealth access
• Employee Assistance Program (EAP)

Interview Process 

We're excited you're considering a career with Revinate! Our goal is to ensure this is the right opportunity for you, while also determining if you're the right fit for our team. The interview process for this role is designed to be a two-way street, where you'll get to know us just as we get to know you.

 - Recruiter Screen - 30 min

 - Technical Interview - 60 min

 - Cross Functional Interview - 30 min

 - Final Interview - 30 min 

Revinate values the flexibility of a remote workforce and the benefits of localized hiring. We focus on specific cities to foster local communities and enhance team cohesion, allowing employees to collaborate, attend local events, and build a strong sense of community and company culture.

Candidates must be located in the city listed in the job application. Thank you!

Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary.

Important Security Alert

We have been made aware of fraudulent activities involving individuals impersonating our HR team and offering fake job opportunities. Please be vigilant and ensure your safety by verifying all job offers.

For Authentic Opportunities: Only refer to our official careers page on our company website. Your security is our priority. If you encounter any suspicious activity, please report it immediately. Stay safe and secure! You can confirm or inquire with any questions by reaching out to recruiting@revinate.com

AI and Hiring 

Please note that interviews at Revinate will be recorded using brighthire.ai. As we continue to build more structure into our interview processes -- the best way to eliminate unconscious bias! We are encouraging our interviewers to focus more on our candidates and the conversation than taking notes. Instead, we can rely on brighthire.ai to do the note taking for us. If you’re uncomfortable with recording your interview, please let us now. We’ll opt you out.   

Excited?!  Want to learn more? Apply Now!

Our Core Values:

One Revinate - United & Strong, on a single mission together

Built on Trust - It’s the foundation of everything we do

Expect Amazing - We think, dream & deliver big

Customer Love -- When the customer wins, we win

Make it Simpler -- Apply it to everything we do

Hungerness -- Feel it, follow it, be relentless about our success

Grounded in Gratitude - We’re glad to be here & make the most of every day

Revinate Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Revinate complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. 

Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary. 

If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to recruiting@revinate.com.

By submitting your application you acknowledge that you have read Revinate's Privacy Policy (https://www.revinate.com/privacy/)

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Job description

We are looking for a Software Development Intern to help us with coding, fixing, executing and versioning existing code for applications. If you're passionate to solve real time fundamental problems, explore, learn and work on technologies out of scope, Netomi is the perfect place for you.

• Assist in planning, design and execution of SOA backend platforms. Mostly around REST based Web Frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Works collaboratively in a multi-disciplinary team environment
• Assist key technical advisors to define the roadmap of project

• Experience on some scripting language for automated build/ deployments, preferably Java
• Pursuing B.E./B.Tech in Computer Science from tier I & II institutes (2025 and 2026 passouts only)

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Job description

We are looking for a Software Development Intern to help us with coding, fixing, executing and versioning existing code for applications. If you're passionate to solve real time fundamental problems, explore, learn and work on technologies out of scope, Netomi is the perfect place for you.

• Assist in planning, design and execution of SOA backend platforms. Mostly around REST based Web Frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Works collaboratively in a multi-disciplinary team environment
• Assist key technical advisors to define the roadmap of project

• Experience on some scripting language for automated build/ deployments, preferably Java
• Pursuing B.E./B.Tech in Computer Science from tier I & II institutes (2025 and 2026 passouts only)

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!

As a Senior Data Engineer at Lalamove, you will be joining the global Data team as a key member of our expanding technology team in our new market. Due to the importance of user privacy and our commitment to compliance laws, we need an additional engineer to support our operations in the expanding market, while collaborating closely with our global engineering team.

• Provide production support and incident response of our data in expanding market platform.
• Support and troubleshoot technical issues, including the data pipelines running on top of the data platform.
• Collaborate with a geographically-dispersed team of engineers to support compliance for the expanding market.
• Support ad hoc requests related to expanding market data and operations.

• Legally permitted to work in Malaysia
• 5+ years of relevant experience in data engineering
• Experience in supporting Big Data operations
• Proficiency in SQL
• Hands-on experience in linux systems and command line operations
• Experience in Java and Spring Boot framework
• Good command of English, fluency in Mandarin is a plus

To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.

This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice

About Freshpaint:

Customer data is the fuel that drives all modern businesses. From product analytics, to marketing, to support, to advertising, advanced data analysis in the warehouse, and even sales – customer data is the raw material for each function at a modern business.

For highly regulated businesses in healthcare, it’s always been a challenge to harness that customer data and get it to the marketing and analytics tools that require it while following patient privacy laws….until now.

Something as simple as running ads to get more users is simple for an e-commerce of software company to do. But common web analytics and advertising tools collect sensitive user identifiers and healthcare information automatically. Those same tools are not HIPAA compliant.

We provide a layer of data governance to make current web analytics tools HIPAA-compliant. For analytics, our customers can continue getting the insights they need to improve the patient experience. For marketing, Freshpaint safeguards health information while helping our customers promote access to care through popular advertising platforms like Facebook, Google, and others.

In short, we help healthcare marketers promote access to care and safeguard patient privacy at the same time. This is an important, complex problem in a massive market (healthcare is 20% of the US GDP).

Our customers manage their customer data with:

1. Privacy Platform. We help healthcare providers automate their website’s + app’s HIPAA compliance, and safeguard patient data. This is our core product today

2. Future additional product lines! Our core product provides a platform that we're building marketing applications on top of.

We’re fully remote. If you strongly value in-person work, Freshpaint is likely not the best fit for you. Even though we don’t care where you’re located, we only hire within the US. Many of our team is concentrated in various metro areas like SF or NYC. To balance out our remote-ness, we gather the team 2x times per year for offsites. We’re backed by leading investors including Y-Combinator, Intel Capital, and angel investors like the Head of Data from Slack, Head of Data at LinkedIn, and more.

Who we are:

Freshpaint was founded by web analytics veterans who realized how hard it was for highly regulated companies to collect and use customer data in a compliant way. We started as part of Y Combinator’s S19 cohort and have been focused on enabling healthcare companies collect, safeguard, and activate patient data since.

In 2022 the government issued updated guidance around HIPAA, basically making our software a requirement to use for healthcare companies. As a result, we're one of the fastest growing software companies on earth right now.

Our team has deep analytics and growth experience, with all of us coming from high-growth companies like Heap, Pendo, Iterable, Quantum Metric, and Retool. If you value lots of freedom and ownership in your work, interfacing with customers, and working on a product with high customer impact, then Freshpaint is your home.

About the Role

At Freshpaint, we believe that strong Engineering teams are built of individuals who

• Solve problems, not tickets – Jump into unfamiliar territory and learn what's needed to move the team forward

• Think like owners – Focus on delivering measurable business impact rather than completing tasks

• Elevate others – Actively mentor, unblock, and celebrate teammates, knowing the team's wins are your wins

We are looking for a Senior Software Engineer - Data to join one of our Product-oriented teams. As Freshpaint has grown, our Products have become more sophisticated and increasingly leveraged multiple sources of data. We’re seeking a Software Engineer who has competencies in Data and Data Engineering to help us shape the next generation of Freshpaint Products. We believe there’s a big opportunity ahead, and this person will contribute to the team’s success by building new products and by influencing how we incorporate data into our Product offerings.

What You’ll Do

• Use your expertise to build Software Products that rely on data

  • Deliver business outcomes by either directly owning, or guiding others to build reliable and scalable products

  • Mentor engineers and analysts on best practices for data quality, reliability, testing, monitoring, and documentation

  • Partner closely with analytics, product, and engineering teams to identify data requirements and translate them into robust, scalable solutions

• Join customer calls (both internal teams and external users) to hear firsthand what problems they're solving and what features actually move the needle

• Design and refine data models that underpin product functionality while implementing monitoring systems to ensure reliability and performance

• Collaborate with our Data Guild to define the organization’s data strategy influencing decisions on tooling, architecture, and engineering standards

• Solve problems side-by-side with team members through a combination of pairing and solo work

If this sounds like you, we would love to chat!

What We’re Looking For

• 5+ years of experience in building Products, either in Software Engineering, Data engineering or a closely related role

• Strong customer orientation, with a focus on details that drive product impact and customer value

• Proven experience building and maintaining production-grade data pipelines

• Proficiency in application development

• Proficiency in SQL and at least one data engineering language (e.g., Python, Scala, or Java)

• Hands-on experience with large-scale data warehouses, regardless of specific tooling

• Experience with data visualization and the ability to tell clear, compelling stories with data

• Hands-on experience with modern data warehouses and data modeling best practices

• Experience working with cloud-based data platforms (AWS, GCP, or Azure)

• Familiarity with orchestration tools, version control, and CI/CD best practices

• Ability to work independently, make sound architectural decisions, and thrive in ambiguous environments

• Strong communication skills and comfort collaborating with both technical and non-technical partners

Nice to Have

• Experience being an early data engineer at a company

• Experience with Golang, Typescript, Data Build Tool

• Experience with tools like Snowflake, Looker, or Fivetran

• Experience with analytics engineering or BI tooling

• Prior experience helping scale a data platform as the company grows

Why This Role Is Exciting

• Build the foundation for what's next. You'll architect the data systems and strategy that power Freshpaint's future, shaping how the company scales for years to come

• See your impact everywhere. Your work will touch every team and product at Freshpaint, giving you visibility into how engineering decisions drive real business outcomes

• Code one day, strategize the next. You'll split your time between writing code and making architectural decisions that set technical direction, perfect if you want to keep your hands on the keyboard while influencing the big picture

Interview Process

At the start of the call, we will briefly go through a few standard verification steps to ensure we’re speaking to the right person. This helps protect both candidates and our team against AI misuse. If at any point we get the sense we aren’t speaking with the right candidate, we reserve the right to end the call early.

• Recruiter Screen

• Hiring Manager Call

• Virtual Onsite with Technical Pairings

• CEO Interview

• Offer!

Perks & Benefits

We take care of our team—here’s a peek at what you get when you join:

• Competitive pay + generous equity (10-year exercise window)

• Fully remote (U.S. only) with a $150/month coworking stipend

• Half-day Fridays, every Friday

• Unlimited PTO—with a required 2-week minimum

• Top-tier health, dental & vision (100% covered for you, 80% for dependents)

• 2 “Treat Yourself” days a year—$100 and a day off, just because

• Generous parental leave

• Epic offsites twice a year (past trips: Greece, Jackson Hole, Cabo, wine country + more)

And more—check out our careers page for the full list.

Who we are

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

What we're looking for

We’re looking for an experienced Software Engineer to join the “Costco” team at Zus, which builds services for managing our rapidly growing bulk data offerings while adhering to complex healthcare access control requirements.

The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, adopting tools to handle growing scale, and ensuring high data quality and freshness. You are creative, innovative and love to run experiments to explore the paths to evolve and develop our platform as we scale.

As As part of the core Zus platform, the Costco team has needed to rapidly innovate to stay ahead of data volumes that grow at 10x per year and a growing base of data-savvy customers using data to improve patient care. They are also contending with an evolving regulatory landscape in data privacy and security.

On the Costco team, you will work with microservices in Go, streaming data pipelines in AWS, and state-of-the-art data technologies including Apache Iceberg, Apache Spark, Snowflake, and dbt. Expect to learn a lot and be put on mission-critical projects with direct customer impact.

• Build and operate data services driving our applications and APIs
• Collaborate with team members and across Engineering to iteratively prototype and develop new functionality

• Partner with product managers and other Zusers

• Learn fast and enjoy open-ended technical challenges
• Have experience with operationally stable, scalable, and cost efficient data services
• Enjoy owning your work and seeing it deploy safely in production
• Are experienced using Cloud Data Warehouses such as Snowflake, Big Query, Redshift or Databricks
• Have experience with at least one of the following: deployment technologies (GitHub Actions, CircleCI, etc.), cloud providers (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation, etc.)
• Are excited to ~ finally! ~ enable a true digital revolution in healthcare
• Thrive amid the changing landscape of a growing and evolving startup
• Enjoy collaboration and solving unique problems

• Experienced at working with petabyte-scale data
• Experienced with Apache Iceberg, Apache Spark, and other large-scale data technologies
• Experienced with AuthN/AuthZ and fine-grained access control
• Familiar with multiple languages including either Go or Python
• Experienced in working with healthcare data and APIs
• Familiar with the FHIR and/or TEFCA standards

We will offer you…

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity

• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO

• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.

We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

About Us

Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenes— screening, compliance, scheduling, and payments—so knowledge sharing stays focused on meaningful insights and real impact.

We’re a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.

What we believe

Human knowledge is the world’s most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.

About the role

At first glance, Office Hours looks simple: search, match, connect, and pay. Under the hood, the system is anything but.

We’re building and evolving a deeply interconnected platform spanning search, discovery, recommendations, data pipelines, logistics, payments, compliance, and performance. The entire stack has been built in-house, from expert profiles and discovery experiences to workflow automation and an underlying knowledge graph that ties everything together.

We’re looking for a Staff Full Stack Software Engineer who enjoys working across the stack, takes ownership of complex problems, and cares deeply about building thoughtful, high-quality product experiences. This is a hands-on role with real influence over product direction, technical architecture, and how we ship software.

What you’ll do

• Own the design, implementation, and rollout of meaningful user-facing features, from problem definition through production

• Partner closely with design, product, and client-facing teams to translate real user needs into shipped solutions

• Architect, build, and evolve scalable, reliable systems across the front end, back end, and infrastructure

• Set a high bar for code quality through clear implementations, thoughtful tradeoffs, and active participation in reviews and technical discussions

• Explore and integrate modern tools, including AI-powered workflows, and share learnings that improve how the team builds and ships

What you bring

• 8+ years of professional software engineering experience, with meaningful time spent working across the stack

• A track record of shipping high-quality, user-facing products in production environments

• Strong product intuition and the ability to translate ambiguous user or business problems into technical solutions

• Comfort operating in fast-moving environments where priorities evolve and ownership matters

• A bias toward action, paired with sound judgment and attention to detail

Our tech stack

• Back end: Node.js, Typescript, MongoDB & Postgres, OpenSearch, Temporal

• Front end: React, Next.js, Tailwind, shadcn

• Infrastructure: AWS, Kubernetes, Docker, Datadog, Sentry

• Workflow: GitHub, Slack, Notion, Figma, Linear, PostHog, Metabase

Benefits + Perks

• Competitive salary and equity

• Medical, dental, and vision coverage

• 401(k)

• Monthly wellness and fitness stipend

• Paid time off policy, along with company holidays

• Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)

• Parent-friendly policies, remote flexibility, and paid family leave

Pay Transparency Notice

Full-time offers include base salary, equity, and benefits.

Pay range: $225,000- $250,000 based on seniority and relevant experience

*This role can be 100% remote, but we do have offices in San Francisco and NYC

Don’t meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if you’re excited about this role but don’t meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!

Who is Flock?

Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation.

We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact.

With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.

The Opportunity

We're hiring a Senior Software Engineer to build Night Shift, a conversational AI assistant that helps investigators surface critical evidence and close cases faster. You'll design and implement the conversational interface, build the orchestration backend that manages LLM interactions and tool calling, and develop integration pipelines connecting our AI to Flock's existing data platform and APIs. This is a ground-floor opportunity where product thinking matters as much as technical execution: you'll shape chat experiences with complex context management, partner with platform teams to design new APIs or leverage existing ones, and solve the reliability challenges of deploying AI in high-stakes investigative workflows. You'll collaborate closely with ML engineers on prompt engineering and agentic workflows while maintaining a strong point of view on what makes a great user experience. If you've built LLM-powered products and thrive at the intersection of customer impact and technical depth, this role is for you.

The Skillset

• Love for coding and continuous learning, especially in the rapidly evolving LLM space

• Resourceful problem-solver mindset: excel in ambiguous situations and take initiative to define product direction

• Strong TypeScript / Node / Express skills for web services and API design (REST, SSE, WebSockets for streaming)

• Modern web framework expertise (React / TypeScript preferred), particularly for conversational UI and chat interfaces

• Hands-on LLM experience: OpenAI/Anthropic/Gemini APIs, prompt engineering, streaming responses, and conversation context management

• Familiarity with agentic patterns: function calling, tool use (MCP), and orchestrating multi-step workflows

• API integration skills: consume existing APIs or design new ones to ground AI in investigative data

• Database confidence: PostgreSQL and sophisticated SQL for data retrieval

• Cloud infrastructure basics: Docker, Kubernetes (Helm), AWS services (S3, SQS, API Gateway)

• Product-minded: translate user feedback into technical requirements and make pragmatic tradeoffs

• Bonus points for: LLM evaluation tools (LangSmith, Langfuse), vector search/RAG, microservices architecture, or Terraform

90 Days at Flock

The First 30 Days

• Onboard and Integrate:

  • Familiarize yourself with Flock's mission, investigative workflows, and how customers use our platform today

  • Pair with engineers across Cloud Software and ML teams to understand existing APIs, data models, and system architecture

  • Build relationships with key stakeholders to understand their capabilities and constraints. Meet with members of:

    • Machine Learning (agentic systems, model serving)

    • Data Engineering (investigative datasets, pipelines)

    • Platform teams (APIs, infrastructure)

    • Product and Design (customer needs, UX direction)

• Ship Early and Learn:

  • Complete a first-day push to production

  • Pick up initial sprint tickets: bug fixes, small UX improvements, or API integrations

  • Participate in customer feedback sessions to understand investigator workflows and pain points

The First 60 Days

• Build the Foundation:

  • Deliver core conversational UI components and establish patterns for chat interfaces

  • Implement backend orchestration for LLM interactions and tool calling

  • Stand up observability for the AI system (logging, tracing, basic metrics)

  • Work with ML team to integrate agentic workflows and refine prompt strategies

• Demonstrate Velocity:

  • Own end-to-end features that connect UI, backend orchestration, and data integrations

  • Collaborate with Product to rapidly iterate based on early user testing

  • Propose technical improvements to chat quality, performance, or reliability

90 Days & Beyond

• Drive Product Impact:

  • Lead development of a core Night Shift capability that demonstrably improves investigator efficiency

  • Represent the team in cross-functional initiatives, balancing zero-to-one experimentation with engineering best practices

  • Establish patterns for testing and quality in an evolving AI product

• Shape the Direction:

  • Influence product roadmap through technical insights and customer feedback

  • Mentor team members on LLM integration patterns or full-stack best practices

  • Own a domain area (e.g., conversation management, data grounding, streaming architecture)

The Interview Process

We want our interview process to be a true reflection of our culture: transparent and collaborative. Throughout the interview process, your recruiter will guide you through the next steps and ensure you feel prepared every step of the way. To check out our interview stages and how you should prepare visit experiences on our careers page.

Salary & Equity

In this role, you’ll receive a starting salary of $170,000-$185,000 as well as stock options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.

The Perks

🌴Flexible PTO: We seriously mean it, plus 11 company holidays.

⚕️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.

👪Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.

🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.

🧠Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.

💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support

💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.

💚ERGs: We want all employees to thrive and feel like they belong at Flock. We offer three ERGs today - Women of Flock, Flock Proud, and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.

💻WFH Stipend: $150 per month to cover the costs of working from home.

📚Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.

🏠Home Office Stipend: A one-time $750 to help you create your dream office.

If an offer is extended and accepted, this position requires the ability to obtain and maintain Criminal Justice Information Services (CJIS) certification as a condition of employment. Applicants must meet all FBI CJIS Security Policy requirements, including a fingerprint-based background check.

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.

If you need assistance or an accommodation due to a disability, please email us at recruiting@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.

At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.

At ARB Interactive, creativity, tech, and play collide. Founded in 2022, we've grown to nearly 200 team members and were named one of LinkedIn's ​2025 Top 50 Startups in the United States​! We move fast, think big, and love bold ideas that push boundaries (and buttons). From new rewards to fresh game mechanics, every challenge is a chance to innovate and have fun doing it. Our culture is collaborative, curious, and full of laughter because great ideas grow best between coffee, code, and a few epic high-fives.

Summary

We’re looking for a Senior Data Engineer to help shape and expand the foundation of our modern data stack. This is a hands-on role for someone who’s excited to build and improve robust, scalable pipelines and collaborate cross-functionally to turn raw data into business-critical insights.

As a senior member of the team, you’ll play a key role in technical decision-making, partnering closely with analytics, engineering, product, and other talented and collaborative teammates, to help ensure our systems scale with the business. If you’re passionate about solving real-world complex data challenges, in order to move the needle in a high-growth environment, this role provides the perfect blend of a technical challenge and meaningful impact.

This is a great opportunity for someone who thrives on hands-on execution but also enjoys mentoring others, guiding architectural decisions, and helping shape the future of the data function.

Responsibilities

• Design, build, and maintain scalable, efficient ETL/ELT pipelines

• Model clean, trusted datasets to support analytics, experimentation, and reporting

• Optimize our data infrastructure for performance, cost, governance, and maintainability

• Partner with data analysts and product teams to improve data accessibility and accuracy

• Enable self-service analytics by designing intuitive data models and comprehensive documentation

• Implement robust data quality frameworks, monitoring, alerting and observability to ensure data reliability

• Collaborate with product and engineering on instrumentation of new product features and events

• Mentor junior team members, contribute to code reviews, and share best practices

• Influence the long-term direction of our data architecture and tooling

• Take on team leadership or people management responsibilities as the team scales

Requirements

• 5+ years of experience in data engineering or related roles

• Strong SQL and Python skills, with a focus on readable and efficient code

• Deep understanding of data warehousing concepts and data modeling best practices

• Hands-on experience with tools in the modern data stack (e.g., dbt, Airflow, Snowflake, BigQuery, Redshift)

• Strong communication and collaboration skills; able to work cross-functionally with analysts, PMs, and engineers

• A bias toward action and ownership; you thrive in fast-paced, high-autonomy environments

Nice to Have

• Experience in gaming, entertainment, or high-volume consumer applications

• Familiarity with event tracking platforms (e.g., Segment, Amplitude)

• Experience hiring or onboarding engineers in a high-growth environment

Diversity Commitment: We are focused on building a diverse and inclusive team. We welcome people of all backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Important Security Notice: Our recruitment team will only contact candidates through official channels using @arbinteractive.com email addresses and via our recruiting platform, Ashby. If you find a position on a third party careers page (LinkedIn, Indeed, etc.), the job posting will redirect you to our careers page (https://jobs.ashbyhq.com/arb-interactive) to begin your application. We will never request payment, banking information, or personal identification details during the application process.

If you're ever uncertain about the legitimacy of communication claiming to be from our company, please forward it to recruiting@arbinteractive.com for verification before responding or clicking any links.

We believe communication belongs to everyone. We exist to democratize phone service.  TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do.   We're the largest provider of free phone service in the nation. And we're just getting started. 

Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. 

TextNow is looking for an experienced Data Engineer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform, enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support allTextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up.   

• Own TextNow's data warehouse, data pipelines, and integration points between various business systems. 
• Design, develop, and support new and existing batch and real-time data pipelines, and recommend improvements or modifications. 
• Manage data models to enable AI/ML data products. 
• Champion TextNow's data ecosystem by working with engineering and infrastructure teams to enable quicker access to data for insights and decision-making. 
• Communicate data modeling and architecture processes to cross-functional teams. 
• Identify, design, and implement process improvements across the data platform. 

• Have 3–5 years of experience working with data warehouse/data lake and ETL architectures(e.g.,databricks, iceberg), cloud data warehouses (e.g., Snowflake), and hands-on experience in Python and SQL — preferably in companies with fast-growing and evolving data needs. 
• Have at least 2 years of experience with Airflow and Spark. 
• Have developed scalable, real-time data pipelines using Python/Scala, SQL, and distributed processing frameworks such as Spark or Flink. 
• Have exposure to the AWS platform and services such as EKS, MSK, and MWAA (preferred). 
• Have experience building data features using Snowflake, dbt, and Python to power real-time AI/ML inference. 
• Are respectfully candid, with the ability to initiate and drive tasks to completion. 
• Are highly organized, dependable, and follow a structured work approach. 

More about TextNow...

Our Values:

·  Customer Obsessed (We strive to have a deep understanding of our customers)

·  Do Right By Our People (We treat each other with fairness, respect, and integrity)

·  Accept the Challenge (We adopt a "Yes, We Can" mindset to achieve ambitious goals)

·  Act Like an Owner (We treat this company like it's our own... because it is!)

·  Give a Damn! (We are deeply commited and passionate about our work and achieving results)

Benefits, Culture, & More:

·   Strong work life blend 

·   Flexible work arrangements (wfh, remote, or access to one of our office spaces)

·   Employee Stock Options 

·   Unlimited vacation 

·   Competitive pay and benefits

·   Parental leave

·   Benefits for both physical and mental well being (wellness credit and L&D credit)

·   We travel a few times a year for various team events, company wide off-sites, and more

Diversity and Inclusion:

At TextNow, our mission is built around inclusion and offering a service for EVERYONE, in an industry that traditionally only caters to the few who have the means to afford it. We believe that diversity of thought and inclusion of others promotes a greater feeling of belonging and higher levels of engagement. We know that if we work together, we can do amazing things, and that our differences are what make our product and company great. 

TextNow Candidate Policy

By submitting an application to TextNow, you agree to the collection, use, and disclosure of your personal information in accordance with the TextNow Candidate Policy

We believe communication belongs to everyone. We exist to democratize phone service.  TextNow is evolving the way the world connects and that's because we're made up of people with curious minds who bring an optimistic, yet critical lens into the work we do.   We're the largest provider of free phone service in the nation. And we're just getting started.

Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere.

TextNow is looking for a motivated Senior Data Analyst to join our Analytics & Insights team. You’ll drive data-informed decision-making across the organization by translating business problems into analytical solutions, designing insightful dashboards, and uncovering trends that shape strategic actions.

This role is perfect for someone with strong analytical skills, deep business acumen, and a passion for using data to tell stories that inspire action.

What You’ll Do

Analyze complex datasets to identify actionable insights, trends, and opportunities

Develop and maintain dashboards, reports, and data visualizations using tools like Looker, Tableau, Power BI, or Redash

Conduct ad hoc analyses to support product, marketing, and operations initiatives

Partner with data engineering teams to ensure data quality, integrity, and availability

Develop and maintain KPI frameworks and performance measurement systems

Assist in building scalable data models and automation pipelines

Collaborate cross-functionally with Product, Finance, Marketing, and Operations teams to define analytical needs

Translate business questions into data requirements and present insights and recommendations to senior leadership

Mentor junior analysts and foster a culture of data-driven decision-making

Define and standardize analytical best practices across the organization

You’ll Be a Great Fit If You Have

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field (Master’s preferred)

5+ years of experience in data analytics or business intelligence

Proficiency in SQL and at least one programming language (e.g., Python or R)

Experience with modern BI tools (Looker, Tableau, Power BI, Mode, or Redash)

Strong understanding of A/B testing, statistical analysis, and data modeling

Experience working with large-scale datasets and cloud-based environments (e.g., Snowflake, Eppo)

Excellent communication and storytelling skills with data

Attention to detail, analytical rigor, and curiosity for continuous improvement

Preferred Skills

Experience in telecommunications, SaaS, or consumer app environments

Familiarity with machine learning concepts and predictive analytics

Understanding of ETL processes and data warehousing fundamentals

Experience collaborating with product teams on experimentation and growth analytics

Estimated Base Salary Range by Location:

Canada (CAD): $103,700 – $140,300

US – National (USD): $114,800 – $155,300

Final compensation will be determined based on a number of factors, including skills, experience, location, and on-the-job performance. We’re committed to paying competitively to hire and retain high-caliber talent. We recognize that exceptional talent may fall outside of these ranges; we encourage all qualified candidates to apply even if their compensation expectations are outside of the listed range.

More about TextNow...

Our Values:

·  Customer Obsessed (We strive to have a deep understanding of our customers)

·  Do Right By Our People (We treat each other with fairness, respect, and integrity)

·  Accept the Challenge (We adopt a "Yes, We Can" mindset to achieve ambitious goals)

·  Act Like an Owner (We treat this company like it's our own... because it is!)

·  Give a Damn! (We are deeply committed and passionate about our work and achieving results)

Benefits, Culture, & More:

·   Strong work life blend 

·   Flexible work arrangements (wfh, remote, or access to one of our office spaces)

·   Employee Stock Options 

·   Unlimited vacation 

·   Competitive pay and benefits

·   Parental leave

·   Benefits for both physical and mental well being (wellness credit and L&D credit)

·   We travel a few times a year for various team events, company wide off-sites, and more

Diversity and Inclusion:

At TextNow, our mission is built around inclusion and offering a service for EVERYONE, in an industry that traditionally only caters to the few who have the means to afford it. We believe that diversity of thought and inclusion of others promotes a greater feeling of belonging and higher levels of engagement. We know that if we work together, we can do amazing things, and that our differences are what make our product and company great. 

TextNow Candidate Policy

By submitting an application to TextNow, you agree to the collection, use, and disclosure of your personal information in accordance with the TextNow Candidate Policy

The Data team at Loop is on a mission to empower merchants with transformative data products that drive success beyond returns. By building tools that merchants love and fostering a robust data culture, the team enables smarter decision-making across the board. Whether creating insights to guide merchants’ strategies or strengthening internal data-driven processes, the Data team is integral to shaping Loop’s future and unlocking new opportunities for our merchants and teams alike.

As a Data Engineer at Loop, you’ll have the chance to significantly impact our ability to solve merchant problems and fulfill merchant needs. You’ll be an integral member of the team, owning all aspects of data availability, quality, and ease of use of our data platforms. Your success in this role will depend on a healthy blend of creativity and structure with a continuous focus on delivering value to the business.

At Loop, we’re intentional about the way we work so that we can do our best work. We call this our Blended Working Environment. We work from our HQ in Columbus, OH, or one of our Hub or Secluded locations, and are distributed throughout the United States, select Canadian provinces, and the United Kingdom. For this position, we’re looking for someone to join us in a location where we already have an established Hub or HQ.

Our data stack: Snowflake, Fivetran, dbt, GoodData, Secoda

• Maintain and optimize existing data pipelines and warehouse solutions for performance, reliability, and cost efficiency. 
• Support internal analytics and ML teams with data modeling, schema updates, and ad hoc data needs. 
• Contribute to dbt projects and assist in ensuring data quality, observability, and accessibility. 
• Write clean, tested, and documented code, and participate in code reviews. 
• Collaborate with senior data engineers to understand and contribute to new ingestion sources, ML pipelines, and other forward-looking initiatives. 
• Ensure internal stakeholders can access and use data effectively, enabling faster business insights and decision-making.

• 4 years of hands-on experience building and maintaining data pipelines and data sets in a cloud environment (Snowflake, GBQ, Redshift, etc.). *We're expecting top candidates to have hands-on experience with Snowflake, specifically!
• 2+ years of Python experience, creating reliable workflows and data processing scripts. 
• Strong SQL skills and experience with data modeling. 
• Experience with dbt or similar transformation tools. Familiarity with distributed systems and ETL/ELT processes.
• Nice to have: Experience with data observability, lineage, or governance tools. 
• Nice to have: Exposure to BI tools and supporting analytics teams. 
• Nice to have: Experience working on cross-functional data projects. 
• Nice to have: Familiarity with Fivetran, Kafka, or modern data integration platforms. 

• Progress over perfection and focus on delivering value. 
• Strong, open, and continuous collaboration with peers and stakeholders. 
• Autonomy and accountability. 
• Drive to solve problems. 
• Engagement and participation in our Agile practices.

#LI-ST1

Loop Story

Commerce should feel effortless. Every product adored, every order perfect, every customer loyal for life. But reality is messier: operations get tangled, margins grow thin, and trust is fragile. That’s where Loop steps in. We create confidence where commerce fails.

We started by fixing returns and exchanges. Today, we’re building a connected commerce operations suite — powering everything from order tracking to fraud prevention, with hundreds of innovations in between. Grounded in data and insight, our platform helps merchants make smarter decisions with every transaction. Over 5,000 of the world’s most loved brands trust Loop to turn cost centers into growth engines. Our mission is simple: protect margins, delight customers, and help merchants build businesses that last.

Life at Loop is rooted in our core values. We balance high empathy with high standards, knowing that work is better when we can show up authentically and resilience is built by facing challenges head-on. We expect you’ll grow quickly, learning skills that last far beyond your time here. Loop is a formative chapter in your career — a chance to shape the future of commerce and to leave better than when you arrived.

Learn more about us here: https://loopreturns.com/careers.

You can review our privacy notice here.

At Spotify, we're building the revenue platform that drives how revenue and taxes are processed across the company — enabling reliable, scalable financial operations across every market, product line, and partner. Our systems are essential to Spotify’s ability to earn, track, and report revenue and taxes, supporting everything from subscriptions and advertising to creator payouts.

As engineers on this team, we design and maintain the backend and data platform capabilities that power millions of transactions each day with precision. We build services that handle tax calculations, produce compliant financial records, and support regulatory requirements across global markets — all while staying agile to keep up with Spotify’s evolving business models. We equip Finance teams with flexible, configurable tools that govern how revenue and taxes are applied across products, enabling rapid adjustments without needing deep technical expertise. Our modular, process-oriented components simplify the development, maintenance, and scaling of the critical Order to Cash enterprise process that underpin Spotify’s financial operations.

• Gain deep expertise in Spotify’s revenue platform, understanding how it enables financial operations, compliance, and strategic decision-making.
• Design and implement scalable backend and data systems that process millions of transactions daily — supporting accurate tax calculation, billing, revenue recognition, financial configuration, and tax reporting.
• Build intuitive, self-serve tools that empower Finance teams to define and manage product-specific revenue and tax configuration independently, without requiring engineering involvement.
• Develop and enhance modular platform capabilities that encodes critical enterprise workflows, promoting consistency, reusability, and ease of maintenance across financial systems.
• Lead the creation of new platform capabilities within the Tax Solutions space, focusing on Tax Reporting and global regulatory compliance.
• Partner closely with Engineers, Product and Finance stakeholders to design systems that are scalable, auditable, and highly reliable.
• Champion engineering best practices, strong architectural design, and operational excellence across backend and data platforms.
• Foster a collaborative team culture rooted in shared ownership, constructive feedback, and continuous improvement.

• You have experience in data engineering, including building and maintaining data pipelines.
• You are proficient in Python and ideally Scala or Java
• You possess a foundational understanding of system design, data structures, and algorithms, coupled with a strong desire to learn quickly, embrace feedback, and continuously improve your technical skills.
• You’re familiar with cloud-native development and deployment, ideally within the Google Cloud Platform.
• You think critically about system design and strive to build solutions that are reliable, maintainable, and auditable at scale.
• You have good communication skills and can articulate your ideas and ask clarifying questions.
• You love collaborating with others.
• You thrive in ambiguous and fast-changing environments, and know how to make progress even when requirements are evolving.
• You approach platform engineering with empathy for your users - prioritising usability, configurability, and long-term sustainability.
• You care deeply about code quality, testing, and documentation, and you aim to build systems that are easy to understand and operate.
• You enjoy collaborating across functions and bring clarity and alignment when working with engineering, finance, and product partners.
• You’re naturally curious, self-motivated, and always looking for ways to grow your technical skills and improve how things are done.

• This role is based in London, United Kingdom.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Who We Are and What We are Doing:

Ethena Labs is actively building and deploying a suite of groundbreaking digital dollar products aiming to upgrade money into the internet era.

Our flagship product, USDe, is a synthetic dollar backed by digital assets, and takes the novel approach of using a delta-neutral hedged basis strategy to maintain its peg. This product scaled from zero to $15b in 18 months.

Expanding on this, iUSDe is designed specifically for traditional financial institutions, incorporating necessary compliance features to enable them to access the crypto-native rewards our protocol generates, in an institutional-friendly manner.

Ethena has also developed USDtb: a fiat backed GENIUS compliant stablecoin in partnership with BlackRock which has scaled to ~$2b.

These products are also offered in a whitelabel stablecoin offering where any application, chain, wallet or exchange can launch their own stablecoin on Ethena's back-end infrastructure.

Through these offerings, Ethena Labs is not just creating new financial products; we are building the foundational infrastructure for a more open, efficient, and interconnected global financial system.

Open job offerings will be focused on two new major product lines coming to market in the next few months.

Join us!!

The Senior Data Engineer is a critical role reporting directly to the CTO. The primary mission is to rapidly deliver a reliable, production-ready market data platform that serves as the single source of truth for trading, risk, and business intelligence.

You’ll immediately own the entire data platform from inception and deliver working historical and real-time Tardis pipelines in the first 60 days. Beyond the initial MVP, the role requires iteratively evolving the platform into a best-in-class, cloud-native, observable, and self-service system. You will work hand in hand with the CTO & trading team to scope & deliver to business needs. The Senior Data Engineer will also serve as the go-to data expert for the firm and will be responsible for mentoring future junior data engineers or analysts.

• Rapidly spin up the cloud environment. Deliver working historical backfill pipelines from Tardis.dev into a queryable database.
• Deliver a real-time Tardis WebSocket pipeline, ensuring data is normalized, cached for live consumption, accurate, replayable, and queryable by Day 60.
• Ensure all pipelines are idempotent, retryable, and use exactly-once semantics. Implement full CI/CD, Terraform, automated testing, and secrets management.
• Implement proper observability (structured logs, metrics, dashboards, alerting) from day one. Provide immediate self-service access to the MVP database for Trading and BI teams via tools like Tableau/Metabase, and through simple internal REST APIs.
• Develop specialized timeseries data, including USDe backing-asset and a full opportunity-surface timeseries for Delta-neutral/lending/borrow opportunities.
• Ingest data from additional sources (Kaiko, CoinAPI, on-chain via TheGraph/Dune). Plan for 10x+ data growth via schema evolution, partitioning, and performance tuning. Establish enterprise-grade governance, including a data quality framework, RBAC, audit logs, and a semantic layer.
• Create full architecture documentation, runbooks, and a data dictionary. Onboard and mentor future junior staff.

• Proven track record of delivering working, production data in weeks, not months, with the ability to ruthlessly cut scope to hit a 60-day MVP while managing technical debt.
• Have built Tardis historical and real-time pipelines before (or equivalent high-quality crypto market data feeds), understanding specific quirks, rate limits, and WebSocket structures.
• Expert in large-scale, reliable ETL/ELT for financial or market data.
• Fluent in provisioning full environments with Terraform in days and expert in AWS/GCP serverless technologies.
• Expert Python and SQL skills and proficiency with time-series databases like TimescaleDB or ClickHouse, ensuring fast queries from day one.
• Advanced knowledge of WebSocket clients, message queues, and low-latency streaming, GitOps, automated testing/deploy and observability practices.
• Significant understanding of stablecoins, lending protocols, and opportunity surface concepts, or a proven ability to ramp up extremely quickly.

Why Ethena Labs?

You'd be joining a group that has well established itself as one of the most successful crypto-native company's of all time, a group with a mission to revolutionise decentralised finance and it's position in global finance.

Work alongside a passionate and innovative team that values collaboration and creativity.

Enjoy a flexible, remote-friendly work environment with established opportunities for personal growth and learning.

If you subscribe to the mission of separating the dollar from the state, then we want to hear from you!

We look forward to receiving your application and will be in touch after having a chance to review. 

In the meantime, here are some links to more information about Ethena Labs to help you check us out:

Website

Twitter/X

LinkedIn

About Sayari: