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Applied Machine Learning Manager - Application Fraud
SentiLink · United States
Pay
$200k–250k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
SentiLink builds the fraud detection and identity verification models much of the US financial system runs on. As an Applied ML Manager, you own a core area end to end.
You'll lead a team of 4 applied ML scientists, 6 by the end of 2026, all experienced and technically deep enough to challenge you daily. This is a people management role that stays close to the work: you'll coach, review code, and contribute directly where it matters most.
Data science drives product decisions here, and the growth path from this role is strategic leadership in both the product and ML domains you own. We use AI across all of our work, are exploring where it belongs in the products themselves, and hold a hard line on AI safety and data governance.
Technologies: Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling.
RESPONSIBILITIES:
- Directly manage a team of applied ML scientists, 4 today and growing to 6 by the end of 2026, and help set the engineering and modeling practices they work by.
- Own execution for your area: priorities, delivery, and the results your team produces.
- Coach and mentor team members through model development, experimentation, and technical decision making, and remain hands-on where it matters most, including code review and production systems.
- Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
- Communicate progress, tradeoffs, and results clearly, and grow into representing your domain in product strategy discussions.
- Develop and improve SentiLink's fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration.
- Research emerging fraud patterns, build new ML capabilities for identity verification and financial risk, and design analyses that inform product and business decisions.
- Use AI throughout your team's work, help push the boundary on what that unlocks, and contribute to our exploration of where AI belongs inside the products themselves.
REQUIREMENTS:
- 6+ years of industry experience applying machine learning or statistics to real-world problems, including 3+ years directly managing machine learning or data science teams. Experience at high-growth startups preferred.
- Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains, and interest in growing into ownership of product direction for that domain.
- Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline.
- Demonstrated success developing and deploying production machine learning models, plus experience writing production-quality Python code and tests.
- Strong practical ML and applied statistics knowledge: able to scope solutions quickly with standard tooling and go deep where it pays off.
- Comfortable working end to end, with a track record of measurable business impact: planning, defining success criteria, getting buy-in, building the solution, and delivering it, whether in production, in a deck, or as strategy.
- Comfortable with modern LLMs and AI-assisted development workflows and interested in pushing them further. Sound judgment when working with sensitive data under real information security and data governance constraints.
- Strong communicator who enjoys mentoring others while remaining technically hands-on. Detail oriented and thoughtful, someone we can rely on to make high-stakes calls while thriving on varied, open-ended, high-impact problems.
- Candidates must be legally authorized to work in the United States and must live in the United States.
COMPENSATION:
$200,000-$250,000/year + equity + benefits
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Applied Scientist, PhD New Grad
SentiLink · United States
Pay
$120k–220k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
As am Applied Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We have open roles on multiple teams including:
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
RESPONSIBILITIES:
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access
REQUIREMENTS:
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
SALARY RANGE:
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Applied Scientist, PhD New Grad
SentiLink · United States
Pay
$120k–220k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
As am Applied Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We have open roles on multiple teams including:
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
RESPONSIBILITIES:
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access
REQUIREMENTS:
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
SALARY RANGE:
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Engineering Manager, Backend/Platform
SentiLink · United States
Pay
$200k–260k
Setting
Remote
Senior Engineering Manager, Backend/Platform
Location
United States
Employment Type
Full time
Location Type
Remote
Department
Engineering
Overview
Application
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
We’re looking for a strong Senior Engineering Manager to lead a backend/platform-focused engineering team responsible for powering SentiLink’s core products.
This team owns the backend systems, external APIs, and services that power these experiences, as well as the technical foundation that ensures the product is scalable, reliable, and secure.
You will lead a small but growing team of engineers responsible for building API-driven systems, evolving our platform architecture, and enabling product teams to move quickly with confidence.
This role sits at the intersection of backend platform development, technical architecture, and people leadership. You’ll partner closely with product, data science, infrastructure, and front-end engineering teams to deliver high-quality systems in a fast-moving environment.
We are looking for a manager who is fundamentally a strong backend engineer and enjoys staying close to technical work, contributing to architecture, guiding design decisions, and unblocking complex systems challenges.
This is a remote, US-based position.
Technologies: React, Golang, Python, PostgreSQL (RDS), Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services)
Responsibilities:
Lead and grow a team of backend/platform engineers building the systems that power Intercept and other critical applications
Drive execution across planning, prioritization, and delivery with a focus on reliability and scalability
Own the technical direction of backend services and APIs, ensuring systems are secure, performant, and maintainable
Partner with product and front-end teams to translate product requirements into robust backend architectures
Collaborate with data science to productionize models and integrate decisioning systems into APIs and workflows
Work closely with infrastructure to improve system reliability, observability, and developer experience
Contribute to architectural decisions and guide the long-term evolution of our platform
Maintain high standards for code quality, testing, and operational excellence
Support incident response and ensure systems meet SLA expectations
Hire, mentor, and develop engineers while maintaining a high hiring bar
Foster a culture of ownership, accountability, and continuous improvement
Contribute to code and technical problem-solving as needed
Requirements:
3-7 years of engineering management experience leading backend or platform teams
Strong background as a senior or staff-level backend engineer
Deep experience building API-driven systems using languages like Golang, Python, or similar
Strong understanding of distributed systems, scalability, and system design
Experience owning and evolving backend architecture in production environments
Track record of shipping complex, customer-facing or platform systems
Comfortable leading technical discussions and diving into implementation details
Experience working in fast-paced, startup or growth-stage environments
Experience building platforms that support product teams (internal APIs, shared services, developer tooling) preferred
Familiarity with data-intensive systems, search (OpenSearch), or risk/decisioning systems preferred
Experience in fintech or highly regulated environments preferred
Compensation:
$200,000/year - $260,000/year + equity + benefits
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
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Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Engineering Manager, Backend/Platform
SentiLink · United States
Pay
$200k–260k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
We’re looking for a strong Senior Engineering Manager to lead a backend/platform-focused engineering team responsible for powering SentiLink’s core products.
This team owns the backend systems, external APIs, and services that power these experiences, as well as the technical foundation that ensures the product is scalable, reliable, and secure.
You will lead a small but growing team of engineers responsible for building API-driven systems, evolving our platform architecture, and enabling product teams to move quickly with confidence.
This role sits at the intersection of backend platform development, technical architecture, and people leadership. You’ll partner closely with product, data science, infrastructure, and front-end engineering teams to deliver high-quality systems in a fast-moving environment.
We are looking for a manager who is fundamentally a strong backend engineer and enjoys staying close to technical work, contributing to architecture, guiding design decisions, and unblocking complex systems challenges.
This is a remote, US-based position.
Technologies: React, Golang, Python, PostgreSQL (RDS), Docker, OpenSearch, AWS technologies (Lambda, Cognito and other standard services)
RESPONSIBILITIES:
- Lead and grow a team of backend/platform engineers building the systems that power Intercept and other critical applications
- Drive execution across planning, prioritization, and delivery with a focus on reliability and scalability
- Own the technical direction of backend services and APIs, ensuring systems are secure, performant, and maintainable
- Partner with product and front-end teams to translate product requirements into robust backend architectures
- Collaborate with data science to productionize models and integrate decisioning systems into APIs and workflows
- Work closely with infrastructure to improve system reliability, observability, and developer experience
- Contribute to architectural decisions and guide the long-term evolution of our platform
- Maintain high standards for code quality, testing, and operational excellence
- Support incident response and ensure systems meet SLA expectations
- Hire, mentor, and develop engineers while maintaining a high hiring bar
- Foster a culture of ownership, accountability, and continuous improvement
- Contribute to code and technical problem-solving as needed
REQUIREMENTS:
- 3-7 years of engineering management experience leading backend or platform teams
- Strong background as a senior or staff-level backend engineer
- Deep experience building API-driven systems using languages like Golang, Python, or similar
- Strong understanding of distributed systems, scalability, and system design
- Experience owning and evolving backend architecture in production environments
- Track record of shipping complex, customer-facing or platform systems
- Comfortable leading technical discussions and diving into implementation details
- Experience working in fast-paced, startup or growth-stage environments
- Experience building platforms that support product teams (internal APIs, shared services, developer tooling) preferred
- Familiarity with data-intensive systems, search (OpenSearch), or risk/decisioning systems preferred
- Experience in fintech or highly regulated environments preferred
COMPENSATION:
$200,000/year - $260,000/year + equity + benefits
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, Data Platform
SentiLink · United States
Pay
$220k–260k
Setting
Remote
Staff Software Engineer, Data Platform
Location
United States
Employment Type
Full time
Location Type
Remote
Department
Engineering
Overview
Application
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
As a Staff Software Engineer on the Data Platform team at SentiLink, you will help define the technical direction of the data platform that powers our fraud detection products. You will own the design and evolution of critical data infrastructure, enabling engineering, product, and data science teams to build reliable, scalable, and high-performing systems.
You'll partner closely with engineering leadership and cross-functional teams to solve some of the company's most complex technical challenges, balancing immediate product needs with long-term platform investments. As a technical leader, you'll influence architecture across multiple teams, mentor junior engineers on the team, and establish engineering standards that improve how we build and operate data systems.
This is a remote, US-based role.
Technologies:
Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies
Responsibilities:
Define the long-term technical vision and architecture for SentiLink's Data Platform.
Design and evolve large-scale data infrastructure that powers our identity and fraud detection systems.
Lead the architecture of secure, scalable, and highly reliable batch and streaming data pipelines capable of processing billions of records.
Drive improvements in scalability, reliability, performance, observability, and operational excellence for the data platform.
Partner with Product, Engineering, Data Science, and Infrastructure teams to solve cross-functional technical challenges and align platform investments with company priorities.
Establish engineering standards, architectural patterns, and best practices for data infrastructure across multiple teams.
Make thoughtful build-versus-buy decisions and evaluate emerging technologies to improve platform capabilities.
Drive operational excellence by improving production reliability, incident response, and system observability.
Participate in production support and on-call rotation while improving systems to reduce operational burden over time.
Develop deep subject matter expertise in identity, fraud detection, and large-scale data processing.
Requirements:
10+ years of experience in software engineering, data engineering, or a related field, with demonstrated ownership of large-scale distributed systems.
Expert-level proficiency in Python or Golang.
Extensive experience designing and operating large-scale ETL/ELT and streaming data platforms using technologies such as Spark, Kafka, Flink, Hadoop, or similar distributed processing frameworks.
Strong experience designing scalable distributed systems in AWS, Azure, or GCP.
Deep expertise across multiple data storage technologies, including relational databases (PostgreSQL), search platforms (OpenSearch), columnar data stores, object storage, and modern data lake architectures.
Experience designing highly available, containerized services running on Kubernetes or similar orchestration platforms.
Strong understanding of Infrastructure-as-Code, CI/CD, observability, and modern DevOps practices.
Demonstrated ability to lead technical initiatives spanning multiple engineering teams.
Proven experience making architectural decisions that balance scalability, reliability, maintainability, and developer productivity.
Strong communication skills with the ability to influence technical direction across teams and levels.
Comfortable operating in ambiguous environments while independently driving complex initiatives from concept to execution.
Bonus Points:
Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3, Lambda, and Glue.
Experience designing data platforms supporting machine learning or AI workloads.
Prior experience at a high-growth infrastructure, fintech, or data-intensive technology company.
Compensation:
$220,000 - $260,000 + equity + benefits
Note: This salary range may be inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
Apply for this Job
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Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Software Engineer, Data Platform
SentiLink · United States
Pay
$220k–260k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
As a Staff Software Engineer on the Data Platform team at SentiLink, you will help define the technical direction of the data platform that powers our fraud detection products. You will own the design and evolution of critical data infrastructure, enabling engineering, product, and data science teams to build reliable, scalable, and high-performing systems.
You'll partner closely with engineering leadership and cross-functional teams to solve some of the company's most complex technical challenges, balancing immediate product needs with long-term platform investments. As a technical leader, you'll influence architecture across multiple teams, mentor junior engineers on the team, and establish engineering standards that improve how we build and operate data systems.
This is a remote, US-based role.
TECHNOLOGIES:
Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies
RESPONSIBILITIES:
- Define the long-term technical vision and architecture for SentiLink's Data Platform.
- Design and evolve large-scale data infrastructure that powers our identity and fraud detection systems.
- Lead the architecture of secure, scalable, and highly reliable batch and streaming data pipelines capable of processing billions of records.
- Drive improvements in scalability, reliability, performance, observability, and operational excellence for the data platform.
- Partner with Product, Engineering, Data Science, and Infrastructure teams to solve cross-functional technical challenges and align platform investments with company priorities.
- Establish engineering standards, architectural patterns, and best practices for data infrastructure across multiple teams.
- Make thoughtful build-versus-buy decisions and evaluate emerging technologies to improve platform capabilities.
- Drive operational excellence by improving production reliability, incident response, and system observability.
- Participate in production support and on-call rotation while improving systems to reduce operational burden over time.
- Develop deep subject matter expertise in identity, fraud detection, and large-scale data processing.
REQUIREMENTS:
- 10+ years of experience in software engineering, data engineering, or a related field, with demonstrated ownership of large-scale distributed systems.
- Expert-level proficiency in Python or Golang.
- Extensive experience designing and operating large-scale ETL/ELT and streaming data platforms using technologies such as Spark, Kafka, Flink, Hadoop, or similar distributed processing frameworks.
- Strong experience designing scalable distributed systems in AWS, Azure, or GCP.
- Deep expertise across multiple data storage technologies, including relational databases (PostgreSQL), search platforms (OpenSearch), columnar data stores, object storage, and modern data lake architectures.
- Experience designing highly available, containerized services running on Kubernetes or similar orchestration platforms.
- Strong understanding of Infrastructure-as-Code, CI/CD, observability, and modern DevOps practices.
- Demonstrated ability to lead technical initiatives spanning multiple engineering teams.
- Proven experience making architectural decisions that balance scalability, reliability, maintainability, and developer productivity.
- Strong communication skills with the ability to influence technical direction across teams and levels.
- Comfortable operating in ambiguous environments while independently driving complex initiatives from concept to execution.
BONUS POINTS:
- Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3, Lambda, and Glue.
- Experience designing data platforms supporting machine learning or AI workloads.
- Prior experience at a high-growth infrastructure, fintech, or data-intensive technology company.
COMPENSATION:
$220,000 - $260,000 + equity + benefits
NOTE: THIS SALARY RANGE MAY BE INCLUSIVE OF MULTIPLE CAREER LEVELS, AND THE ACTUAL BASE SALARY WITHIN THAT RANGE WILL BE DETERMINED BY SEVERAL COMPONENTS INCLUDING BUT NOT LIMITED TO THE INDIVIDUAL'S EXPERIENCE, SKILLS, AND QUALIFICATIONS.
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Data Platform Engineer
SentiLink · United States
Pay
$170k–230k
Setting
Remote
provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the . We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the and testified before the on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
As a Senior Data Platform Engineer team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve.
This is a remote, US-based role.
Technologies:
Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies
Responsibilities:
Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships
Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements
Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards
Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores
Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products
Participate in call rotation for production issues, along with the rest of engineering
Mentor junior engineers and contribute to our evolving engineering best practices
Drive innovation by actively participating in our hackathons and doing proof of concepts
Develop functional subject matter expertise within various areas of identity fraud domain
Requirements:
5+ years of experience in software engineering, data engineering or related field
Proficient in in python or golang and related technologies and frameworks
Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies
Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP
Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques
Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms
Working knowledge of Infrastructure-as-Code and devops practices
Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)
Self organized and ability to work independently and with ambiguity
Experience working in a scrum / Agile development environment
Bonus points if you have:
Experience working with Spark/EMR
Built streaming applications
Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.
Prior experience working in a fintech startup
Candidates must be legally authorized to work in the United States and must live in the United States
Compensation:
$170,000/year - $230,000/year + equity + benefits
Note: This salary range may be inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications.
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Data Platform Engineer
SentiLink · United States
Pay
$170k–230k
Setting
Remote
SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE:
As a Senior Data Platform Engineer team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve.
This is a remote, US-based role.
Technologies:
Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies
RESPONSIBILITIES:
- Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships
- Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements
- Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards
- Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores
- Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products
- Participate in call rotation for production issues, along with the rest of engineering
- Mentor junior engineers and contribute to our evolving engineering best practices
- Drive innovation by actively participating in our hackathons and doing proof of concepts
- Develop functional subject matter expertise within various areas of identity fraud domain
REQUIREMENTS:
- 5+ years of experience in software engineering, data engineering or related field
- Proficient in in python or golang and related technologies and frameworks
- Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies
- Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP
- Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques
- Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms
- Working knowledge of Infrastructure-as-Code and devops practices
- Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey)
- Self organized and ability to work independently and with ambiguity
- Experience working in a scrum / Agile development environment
- Bonus points if you have:
- Experience working with Spark/EMR
- Built streaming applications
- Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc.
- Prior experience working in a fintech startup
- Candidates must be legally authorized to work in the United States and must live in the United States
COMPENSATION:
- $170,000/year - $230,000/year + equity + benefits
NOTE: THIS SALARY RANGE MAY BE INCLUSIVE OF MULTIPLE CAREER LEVELS, AND THE ACTUAL BASE SALARY WITHIN THAT RANGE WILL BE DETERMINED BY SEVERAL COMPONENTS INCLUDING BUT NOT LIMITED TO THE INDIVIDUAL'S EXPERIENCE, SKILLS, AND QUALIFICATIONS.
PERKS:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES:
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Data Strategy Tech Lead
SentiLink · United States
Pay
$180k–230k
Setting
Remote
Data Strategy Tech Lead
Location
United States
Employment Type
Full time
Location Type
Remote
Department
Product
Overview
Application
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
We’re looking for a leader with a technical background and deep understanding of data to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution.
While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams.
In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption.
Responsibilities:
Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.
Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.
Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.
Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.
Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.
Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.
Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.
Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.
Requirements:
5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform.
Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).
Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.
Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.
Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.
Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.
A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.
Salary Range:
$180,000/year - $230,000/year + equity + benefits
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.
Select a role
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