Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture.

We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer.

The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia.

What you'll do

As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Beyond assessments, you'll design and build offensive tooling and automation that amplifies the team's impact. You'll leverage threat intelligence to prioritize testing efforts, contribute to incident investigations when needed, and act as a subject-matter expert for security initiatives across the company.

Responsibilities

• Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure
• Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios
• Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams
• Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity
• Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks
• Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required
• Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage
• Build internal platforms and workflows that enable scalable, repeatable offensive operations
• Contribute to internal security tooling repositories and champion engineering best practices within the team
• Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices
• Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders
• Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives
• Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing
• Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in offensive security, penetration testing, red teaming, or a related field
• Strong programming skills in Python, Go, or similar languages, with demonstrated experience building tools, automation, or custom exploits
• Deep knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability classes (injection, auth flaws, business logic, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud-native attack techniques and misconfigurations
• Proficiency with offensive tooling such as Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound, or similar frameworks
• Familiarity with adversary tradecraft and frameworks such as MITRE ATT&CK, including TTPs for initial access, privilege escalation, lateral movement, and exfiltration
• Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, risk-based recommendations
• Ability to think like an adversary — creative, persistent, and able to holistically assess risk in complex environments

Preferred qualifications

• Experience conducting offensive security in fintech, financial services, or other highly regulated environments
• Background in vulnerability research, exploit development, or CVE discovery
• Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations)
• Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support
• Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows
• Interest or experience in agentic automation — using LLMs or autonomous agents to augment reconnaissance, vulnerability discovery, or exploitation workflows
• Experience testing AI/ML systems or LLM-based applications for security weaknesses (prompt injection, training data extraction, model manipulation, etc.)
• Contributions to open-source security tools, published research, blog posts, or conference presentations
• Relevant certifications such as OSCP, OSWE, OSEP, OSED, CRTO, CPTS, PNPT, GXPN, or cloud security certifications

Location

This role is remote within the United States. While you are welcome to visit Stripe offices for team meetings, on-sites, and events, our expectation is that you would regularly work from home. The team primarily coordinates across Eastern and Pacific time zones, with regular collaboration with stakeholders in Europe and Asia.

Compensation & Benefits

The annual US base salary range for this role is $170,400 – $255,700. This range may span multiple career levels and will be refined during the interview process based on experience, qualifications, and location.

Additional benefits include:

• Equity participation in Stripe's growth
• 401(k) plan with matching contributions from day one
• Comprehensive medical, dental, and vision coverage
• Wellness stipends
• Annual budget for training, certifications, and conference attendance

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE bridges the gap using real attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale. We partner closely with Fraud, Risk and Product Engineering to run rigorous experiments, balancing aggressive risk mitigation against legitimate user conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites in partnership with Abuse Research to permanently block threat recurrence and seamlessly transfers mature controls to long-term product owners across Stripe.

What you’ll do

As an Abuse Control Engineer on the Abuse Control Engineering (ACE) team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors.

Where emerging threat patterns identify Stripe product weaknesses, ACE steps in to rapidly build and experiment with technical safeguards. Driven by empirical evidence and Stripe’s FT3 (Fraud Taxonomy 3.0) framework, you will translate threat intelligence into hard technical control requirements (e.g., API rate-limiting, step-up challenges, parameter validation, pre-debit holds).  You will carefully balance security and product velocity, running experiments to evaluate risk reduction against user conversion impact. Managing controls through a strict incubation lifecycle, you will build automated regression suites to prevent recurrence and partner with native product teams to hand off mature, long-term defenses.  

Responsibilities

• Rapid Control Prototyping: Design, prototype, and deploy technical controls across API, protocol, and product boundaries to immediately close high-impact abuse vectors.  Evidence-Based Technical Requirements: Translate empirical attacker evidence and FT3 threat research Abuse Research, Fraud and Security into precise technical abuse requirements and control specifications. 
• Control Co-Design: Collaborate closely with teams across Stripe to co-design resilient, secure controls across payment, onboarding, identity, and Connect surfaces.  
• Risk Experimentation: Run rigorous experiments and A/B tests to measure risk reduction against legitimate user conversion impact, optimizing controls to minimize friction while neutralizing threats.  
• Regression Testing: Build comprehensive regression testing suites and automated attack simulations with Abuse Research to ensure mitigated abuse vectors do not recur. 
• Stakeholder Management: Execute ACE’s incubation model by defining handoff criteria, operational documentation, and target dates to transfer successful controls to product teams.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3+ years of experience in Security Engineering, Software Engineering, Application Security, or Anti-Abuse Engineering in a high-scale production environment.
• B.S. or M.S. in Computer Science, Cybersecurity, Software Engineering, or a related technical field, or equivalent practical experience.
• Strong software development background with expert proficiency in Python, Go, Java, or similar production languages, alongside expert SQL skills for analyzing system telemetry.
• Hands-on engineering experience building API-level safeguards, rate-limiting frameworks, authentication/authorization checks, or input validation controls.
• Demonstrated experience with automated testing frameworks, including writing unit, integration, and regression tests for critical backend software.
• Strong cross-functional collaboration and communication skills, with a track record of partnering across security, product, and platform teams to drive technical outcomes.

Preferred qualifications

• Proven track record of designing and executing A/B tests, evaluating control efficacy, and balancing security safeguards against user conversion friction.
• Deep expertise in threat modeling, secure system architecture, and modern application security design principles.
• Familiarity with established threat frameworks (e.g., FT3, MITRE ATT&CK) and applying adversary kill chain analysis to build resilient defenses.
• Strong domain knowledge of financial fraud vectors, threat actor TTPs, and attacker infrastructure (e.g., Account Takeover, Card Testing, Credential Stuffing).
• Hands-on experience with large-scale data processing platforms (e.g., Databricks, Trino, PySpark) to monitor and measure control performance across distributed systems.
• Demonstrated capability in incubating software features, establishing clear operational handoff criteria, and seamlessly transitioning ownership to partner engineering teams.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Research Group (ARG) handles proactive threat hunting and adversary behavior analysis across Stripe products. Rather than reacting to alerts, the team maps end-to-end fraud and abuse paths, validates novel attack vectors, and identifies product conditions that enable fraud. Using agentic automated testing and simulation tools, ARG translates research into actionable threat advisories, strategic control recommendations, and regression scenarios to systematically eliminate vulnerabilities.

What you’ll do

As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence.  Rather than relying solely on reactive alerts, you will develop and execute hypothesis-driven threat hunting operations across internal telemetry and external sources to uncover fraudulent tools, tactics, and techniques (TTPs) before they impact Stripe’s platform. Central to this work is FT3 (Fraud Taxonomy 3.0), Stripe’s multi-layered taxonomy that decomposes monolithic fraud into structured kill chains.  Collaborating cross-functionally with Fraud Ops, Strategy, Risk, Onboarding, and Security, you will integrate threat intelligence, build agentic simulation workflows, and systematically eliminate product vulnerabilities.

Responsibilities

• Proactive Threat Hunting & Kill Chain Analysis: Formulate hypotheses and conduct iterative threat hunting operations across Stripe systems and external data.
• FT3 Taxonomy: Apply and enrich the FT3 framework across empirical datasets and incidents, standardizing threat intelligence across kill chain phases and targeted API endpoints.  
• Threat Intelligence & Signal Expansion: Partner with teams like Fraud Intelligence to integrate, curate, and automate threat feeds into engineering workflows.  
• Cross-Functional Advisories & Strategic Controls: Translate raw research and retrospective findings into actionable threat advisories and control recommendations (policy, technical systems, support workflows, and detection mechanisms) for stakeholders across Fraud, Risk, Onboarding, and Security.  
• Agentic Testing & Adversary Simulation: Utilize agentic automated testing frameworks to simulate adversary TTPs, validate whether deployed controls interrupt empirical kill chains, and generate regression scenarios to exercise controls.  

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience conducting threat intelligence, threat hunting, or technical incident response within cyber security, product abuse, or trust domains.  
• 5+ years of experience analyzing large, complex datasets using data analytics tools to identify anomalies, map behavioral trends, and solve complex fraud problems.  
• B.S. or M.S. in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.  
• Expert proficiency in Python and SQL, with demonstrated experience using code and scripting to automate workflows, build investigative tools, or query big data pipelines.  
• Hands-on experience in log analysis (e.g., application logs, API route telemetry, network security events), digital forensics, and cyber investigation methodologies.  
• Strong communication skills with a proven ability to translate complex technical research into clear, actionable recommendations and advisories for cross-functional partners.

Preferred qualifications

• Deep technical understanding of threat actor motivations, infrastructure, and TTPs specific to financial fraud (e.g., ATO, Card Testing, Credential Stuffing). 
• Familiarity with standardized taxonomies such as FT3 or MITRE ATT&CK.  
• Proficiency with engineering, data processing, and analysis platforms such as Databricks, Trino, PySpark, Pandas, or Scikit-Learn.  
• Proven background utilizing Threat Intelligence Platforms (TIPs), tactical threat feeds, OSINT, and breach intelligence. 
• Demonstrated capability building or leveraging agentic LLM tools, automated testing systems, or control validation frameworks to model adversary behavior at scale.  
• Participation in industry conferences, webinars, or threat-sharing groups, alongside relevant professional certifications (e.g., GCTI, GCFA, OSCP).

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team works directly with impacted merchants to resolve incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world.

What you’ll do

In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection. Building on these core operational duties, you will leverage your fraud, abuse, or product trust experience to improve incident response capabilities across Stripe by managing the entire fraud and abuse incident response process, developing response plans, leading workstreams, and serving as incident commander to ensure timely resolution. Furthermore, you will conduct gamedays to pressure-test response processes, drive proactive improvements, and help automate response workflows using agentic approaches ensuring we neutralize threats with speed and precision while continuously elevating Stripe's fraud and abuse incident response function.

Responsibilities

• Lead fraud and abuse incident response end-to-end as Incident Response Manager (IRM), coordinating workstreams, investigating high risk activity and accounts, and making actionable mitigation recommendations under pressure.
• Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped  (Fraud Taxonomy 3.0) detection and signals enrichment to reduce uncertainty and accelerate response.
• As part of incidents, analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 to standardize threat intelligence.
• Develop, document, and execute incident response strategies, runbooks, and capabilities to continuously improve fraud and abuse detection and prevention.
• Partner cross-functionally with security, data science, legal, and policy teams to build agentic response solutions, refine KPIs, and deliver clear incident reporting.
• Mentor teammates, lead key incident response engineering projects, and elevate quality standards across the team.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience leading security or fraud incident response; 
• B.S./M.S. in Computer Science or equivalent experience.
• Expert knowledge of Python and SQL, and familiarity with other programming languages
• Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations
• Proven ability to build automated response workflows, leverage threat intelligence, and make risk mitigation recommendations.
• Strong written and verbal communication skills with a track record of driving cross-functional alignment with minimal oversight.

Preferred qualifications

• Broad expertise across fraud and abuse mitigation, risk management, product trust, and threat intelligence in a complex platform environment.
• An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.
• Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)
• Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.)
• Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment
• Ability to proactively challenge the status quo by leveraging data and taking a user-centric approach to address complex product integrity challenges.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team  works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world.

What you’ll do

You'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision.

Responsibilities

• Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate response.
• As part of incidents, analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 (Fraud Taxonomy 3.0) to standardize threat intelligence.
• Lead incident root cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework, data-driven model to drive enhancements and process improvements for emerging fraud risks.
• Streamline incident response capabilities, ensuring the tooling and processes are clear, accurate and efficient
• Work cross-functionally with security, fraud and data science teams to build agentic solutions for responding to abuse incidents at scale
• Effectively communicate cross-functionally with legal and policy teams to assess and mitigate risks, while demonstrating strong problem-solving under pressure.
• Collaborate effectively with teammates, leading projects, mentoring others, and developing and championing quality standards within the team

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3+ years of experience conducting incident response in security, product abuse or trust domains
• 3+ years experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection
• B.S. or M.S. Computer Science or related field, or equivalent experience
• Expert knowledge of Python and SQL, and familiarity with other programming languages
• Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations
• Ability to communicate results clearly and focus on impact
• Ability to think creatively and holistically about reducing risk in a complex environment

Preferred qualifications

• • An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.
  • Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)
  • Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.)
  • Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment
  • Ability to proactively challenge the status quo by leveraging data and taking a user-centric approach to address complex product integrity challenges

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams.

What You'll Do

You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities.

Responsibilities

• Act as a subject matter expert on Stripe's Data products (data pipelines/export, revenue and reconciliation reporting, and analytics tooling) to accelerate opportunities
• Demonstrate a deep understanding of how businesses warehouse and model payments and revenue data — data pipelines into Snowflake, BigQuery, Redshift, and Databricks; ETL/ELT patterns; and how that data feeds financial reporting, reconciliation, and BI
• Conduct deep discovery of customers' existing data architecture, warehouse, and reporting stack to architect solutions that align Stripe's Data capabilities with their analytics and finance requirements
• Advise customers on how to design for complexity: multi-entity and multi-currency reporting, custom data models, integration with existing BI tools (Looker, Tableau, Sigma, Metabase) and ERP/GL systems, and data freshness/latency requirements
• Create and share best practices and reusable assets such as reference architectures to enhance the quality and efficiency of the broader sales and pre-sales organizations
• Partner closely with the Data product sales team and actively drive opportunities for Stripe's largest customers, leading solution strategy and owning key customer relationships
• Serve as a "Voice of the Customer" to drive product and feature request prioritization
• Identify product, industry, implementation, and competitive trends, and provide actionable insights to product stakeholders and sales to influence Stripe's Data product roadmap
• Act as an escalation point to drive complex technical issues to resolution with Stripe's engineering team
• Represent the technical health of the business on quarterly sales forecast calls and highlight deal blockers with proposed solutions
• Support marketing events including executive briefings, conferences, user groups, and trade shows

Who You Are

You're capable of engaging in both business-level and technical conversations at multiple levels of a customer organization, including finance, data, and engineering leadership. You enjoy working on products that require deep technical understanding combined with business context, and you're as comfortable in a warehouse schema as you are in a revenue conversation with a CFO. You're excited to become an expert and to share that knowledge broadly.

If you meet the minimum requirements below, we encourage you to apply — the preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 7+ years of experience in a technical sales, pre-sales, or solutions architecture role, with a focus on data platforms, analytics, or financial reporting
• 3+ years of hands-on experience with data warehousing and pipeline architecture (e.g., Snowflake, BigQuery, Redshift, Databricks) and ETL/ELT tooling
• Strong understanding of how payments and revenue data maps to financial reporting and reconciliation workflows
• Experience working with or implementing BI/analytics platforms (Looker, Tableau, Sigma, Metabase, or similar)
• Strong knowledge of software engineering and API integration patterns, including how data pipelines are built and maintained
• Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex technical concepts to both technical and non-technical audiences
• A proven ability to build strong collaborative working relationships with business partners
• Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment

Preferred Qualifications

• Experience integrating Stripe or other RESTful APIs into data pipelines or web applications
• Familiarity with complex reporting scenarios: multi-entity consolidation, revenue recognition data models, or usage-based billing data
• Experience with SQL at an advanced level and comfort working directly in a customer's data warehouse during discovery
• Experience as a subject matter expert in financial services, fintech, or a data/analytics vertical
• Pre-sales experience with Enterprise customers

Job Description

Opportunity Overview: 

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.

We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth.

As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy.

What you’ll do:

• Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
• Mentor junior engineers, sharing expertise and raising team-wide engineering standards
• Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs
• Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment
• Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation
• Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet
• Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs
• Participate in on-call rotations to support critical platform jobs and reduce operational disruptions
• Champion a culture of excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing

What you’ll need:

• 5+ years of experience in data engineering or software development with a strong focus on data infrastructure
• Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects
• Track record of building and maintaining production grade systems using APIs
• Strong proficiency in Python and SQL, with experience applying software engineering rigor to data workflows (testing, version control, observability)
• Hands-on experience with modern data tools such as Airflow, dbt, AWS (EMR, Athena, S3), Iceberg, Parquet, and Kafka
• Track record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharing
• Ability to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholders
• Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred
• Understanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design
• Experience with snowflake, Databricks is a plus
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is a plus

Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 

📈 401K retirement plan with company match; flexible spending and health savings account 

🏝️ Flex Time Off + company holidays

👶 Up to 14 weeks of paid parental leave 

🐶 Pet insurance  

The salary range for this position is $130,000 to $160,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. 

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Meet your Hiring Manager!
3. Feature Design
4. System Design
5. Behavioral Interview

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. 

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. 

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

#LI-Remote

#BI-Remote

Job Description

We are seeking a dynamic team player to join Aura in a new role which combines data analytics, revenue accounting, and business partnership. As part of our mission to drive consistent growth in our partner revenue channel, this position will play a critical role in aligning partner analytics with accurate revenue forecasting and GAAP-compliant reporting. 

The Revenue Operations Analyst, Partnerships will collaborate closely with internal and external stakeholders to contribute towards the revenue process for our rapidly expanding partner channel. This role is responsible for ensuring accurate partner billing, analytics, and reporting. 

Reporting to the Director of Partner Revenue Operations, the ideal candidate will bring strong data analytics expertise and a collaborative spirit to a role which offers a unique opportunity to contribute directly to Aura’s growth.

Day to Day:

• Transform source data into a usable format for monthly billing, revenue recognition, and forecasting purposes

• Ensure enrollment numbers used in Employee Benefits/Partner business forecasts are aligned with source customer enrollment counts and actual enrollment counts used by Revenue Accounting for GAAP purposes

• Own the ongoing health of the billing engine: perform regular QA on Python/SQL logic, monitor for discrepancies, and troubleshoot issues as they arise in production

• Debug and fix existing billing engine code to resolve identified issues, ensuring minimal disruption to partner invoicing and downstream revenue reporting

• Design and implement new invoicing logic and billing flows to support evolving contract structures, new partner types, or business requirements

• Assist in ad hoc projects and system integrations as an SME for the Partner Revenue Operations team 

What you bring to the table:

• 2-3 years of progressive experience in data analytics

• Proficiency in SQL and Python – ability to query and manipulate large datasets efficiently

• Experience with Databricks – familiarity with data engineering and analytics in a cloud environment

• Experience building data logic/pipelines — this role includes designing new invoicing flows

• Translating business/contract requirements into technical logic, working iteratively with stakeholders to validate assumptions

• Advanced Excel skills – including pivot tables, advanced formulas, and data analysis

• Strong analytical thinking – ability to identify trends, discrepancies, and insights in financial data

• Solid financial background – knowledge of financial statements, basic accounting principles, and tax implications

• Attention to detail and problem-solving skills – ability to ensure data accuracy and resolve inconsistencies.

• BA/BS in Analytics, Data Science, Applied Mathematics, Statistics, Computer Science, Economics, or a similar field of study 

It would be great if you also had:

• Experience with billing processes and system integrations/implementations; understanding of revenue recognition, invoicing, and reconciliation.

• Familiarity with Zuora, NetSuite, Salesforce, Avalara (or a similar sales tax engine).

• Understanding of subscription & usage based billing, and financial systems.

Aura is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay, generous health and wellness benefits, retirement savings plans, parental leave and much more! Pay range for this position is $75,000–$90,000, but may vary depending on job-related knowledge, skills, experience and location. This position is remote, but candidates must be US-based.

#LI-Remote

Job Description

Description

About the Team

The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.

Description

The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.

This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.

This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.

This position may be filled as an Assistant Director or Director I, Data Science based on experience.

Asst Director, Data Science Product Management: $125,300 – $176,800

Dir I, Data Science Product Management: $142,800 – $201,300

Responsibilities

• Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
• Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
• Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
• Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
• Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
• Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
• Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
• Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
• Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
• Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
• Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.

Qualifications

• Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful.
• Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred
• Master`s degree preferred
• Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
• Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
• Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
• Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
• Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
• Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
• Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
• Experience working effectively in large, complex, and highly matrixed organizations.
• Strong communication, stakeholder management, influence, and organizational leadership skills.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco