Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Position Overview:

Come join the team at Zynga making an impact across all of the company’s games - Central Technology! We focus on shared client & server tech that drives the core gameplay experience under the hood. We’re looking for outstanding engineers with a passion for technology and the desire to work in a team with dynamic strengths. The Principal Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments platform, which enables flawless integration with app stores, consoles, and payments processing providers. They will play a key role in helping architect, build and improve the next-gen framework for our games.

What You'll Do:

• Design and architect new backend applications/services running in AWS
• Optimize and refactor existing services to improve reliability, scalability and to lower cost
• Document and build plans for architecture and system designs
• Take a hands-on approach in architecting, writing and reviewing code
• Review detailed tech plans from others, aligning with the team and Zynga-wide technical vision
• Proactively identify and recommend improvements to address systemic problems and tech debt
• Follow engineering standard methodologies to ensure code quality, performance and reliability
• Work collaboratively across teams to understand product/customer requirements and propose technical solutions
• Provide production and integration support for shared technology across Zynga games

What You Bring:

• Degree in a technical field (e.g., Computer Science, Computer Engineering) or equivalent experience
• 6+ years of hands-on software development experience
• Experience in programming RESTful services using Java
• Solid understanding of backend server applications and web services
• Strong familiarity and experience using AWS and/or other cloud computing platforms (IaaS, PaaS, SaaS)
• Strong familiarity and experience with database systems (SQL, NoSQL)
• Experience with C#/C++ and mobile client development is a strong plus
• Familiarity with containers and Kubernetes
• Familiarity with web development using JavaScript, Angular, and/or React
• Deep understanding of algorithms, design patterns, debugging and performance optimization
• Experience in object-oriented design of applications/systems
• Experience with agile development methodologies and tools
• Excellent interpersonal skills - particularly the ability to discuss timelines, design concerns, work with distributed teams, and provide effective feedback to team members
• Experience working with AI tools

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Toronto at the start of employment is expected to be between $114,300 and $164,300 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Active Secret (or above) US security clearance 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

ABOUT THE TEAM

Our School Nutrition team builds high-transaction-volume software that processes over 1 billion meal transactions annually across thousands of school districts. This is mission-critical infrastructure — it must work during the lunch rush, every school day, in cafeterias nationwide. We're building the next generation of nutrition management technology to help schools operate more efficiently while ensuring every student has access to healthy meals.

ABOUT THE POSITION

As an Engineering Manager for School Nutrition, you will lead the engineering team(s) building the platform that processes over 1 billion meal transactions annually across thousands of school districts. You'll partner closely with engineering leadership and product teams to ship mission-critical software — the kind that has to work during the lunch rush, every school day, in cafeterias nationwide.

This is a player/coach role that leans firmly toward coach. Roughly 80% of your time is spent leading people — hiring, coaching, unblocking, raising the bar, and driving delivery — and the remaining time is spent where a manager's technical leverage is highest: architecture and design reviews, high-stakes code review, pairing on hard problems, and jumping into the code when production needs you. You're not here to pick up sprint tickets, but you are close enough to the code that your engineers trust your technical instincts and you can carry real weight during an incident.

WHAT YOU'LL BE DOING

• Lead and grow a team of engineers across a blended FTE/contractor model - running meaningful 1:1s, writing growth plans, managing performance honestly, and giving direct, kind, actionable feedback
• Own delivery outcomes for the School Nutrition platform - partnering with Product to shape the work, not just receive it, and driving predictable, high-quality execution
• Partner with the Sr. Director of Engineering and your senior engineers to shape and execute the modernization roadmap - evolving the platform toward .NET Core, cloud-native services, and PostgreSQL without destabilizing daily delivery
• Raise the hiring bar and own the hiring loop for your team - sourcing, interview calibration, and closing talent
• Contribute as a technical leader in ADRs, design reviews, and high-stakes code reviews; weigh in on tradeoffs with enough depth that your technical voice genuinely sharpens the work
• Drive healthy engineering practices - testing discipline, CI/CD, DORA/flow metrics, and incident response - using evidence to guide improvement rather than opinion alone
• Enable the team to adopt AI-assisted development tooling (Claude Code) effectively and responsibly, modeling the practices yourself
• Cultivate a culture where engineers are confident to change code - when people are afraid to touch something, we move slowly and we break things
• Communicate up, across, and down clearly in writing - roadmaps, status, risks, tradeoffs, and decisions

WHAT WE ARE LOOKING FOR

Core Experience

• 3+ years managing software engineering teams, with a track record of shipping production software at quality
• Experience managing mixed FTE and contractor teams - with a clear sense of where those management approaches converge and diverge
• Strong technical background with substantial .NET / C# experience; you've shipped real systems and are sharp enough to contribute credibly in design and code reviews
• Comfort across Angular and SQL Server (or close-adjacent stacks you can ramp on quickly)
• Experience leading modernization work - evolving legacy systems incrementally without stopping the world
• Evidence-based management approach - familiar with DORA, SPACE, or equivalent frameworks, and honest about their limits

AWS & Cloud Architecture

• Production experience working in AWS environments; comfortable reasoning about Lambda, RDS, and common cloud-native services
• Appreciation for the tradeoffs between legacy and cloud-native approaches, and experience guiding teams through the transition

AI-Assisted Development

• Hands-on user of Claude Code, Cursor, or similar AI-assisted coding environments
• Able to coach a team on effective, responsible use of AI tooling — and honest about where it works and where it doesn't

Additional Requirements

• Coaching-first instinct - you default to asking before telling, and help people think clearly rather than thinking for them
• Direct communicator - you can challenge respectfully, escalate clearly, and write a crisp exec update
• Fluent in Agile, DevOps, and CI/CD practices

WHAT WILL MAKE YOU STAND OUT

• Experience in school nutrition, food service, point-of-sale systems, or K-12 EdTech
• Background managing teams that support high-transaction-volume, mission-critical systems (POS, payments, or similar)
• Experience running blended onshore/offshore or FTE/contractor engineering teams at scale
• Experience splitting or merging teams as organizational scope evolves
• Hands-on experience with .NET Core, AWS Lambda, and PostgreSQL (our direction of travel)
• Experience with offline-first or intermittent-connectivity patterns
• Contributions to engineering excellence programs, management communities of practice, or internal leadership development

ABOUT THE TEAM

Our Payments team builds the platform that moves real money between school districts, families, and payment partners nationwide. Every transaction matters — a parent loading lunch money before the bell, a cafeteria terminal charging at the register, a nightly settlement landing in a district's bank account. Reliability, accuracy, and financial integrity aren't features - they're the floor. We're building the next generation of K-12 payments, giving districts confidence in their funds and families a seamless way to pay for what their students rely on every day.

ABOUT THE POSITION

As an Engineering Manager for Payments, you will lead the engineering team(s) that own the payment engine and admin tooling behind LINQ's payments platform - the software responsible for moving real money between school districts, families, and LINQ's payment partners. You'll partner closely with the Sr. Director of Engineering, senior engineers on your team, and Product leadership to ship software where reliability, data accuracy, and operational rigor are non-negotiable.

This is a player/coach role that leans firmly toward coach. Roughly 80% of your time is spent leading people - hiring, coaching, unblocking, raising the bar, and driving delivery - and the remaining time is spent where a manager's technical leverage is highest: architecture and design reviews, high-stakes code review, pairing on hard problems, and jumping into the code when production needs you. You're not here to pick up sprint tickets, but you are close enough to the code that your engineers trust your technical instincts and you can carry real weight during an incident - which matters more in payments than almost anywhere else.

WHAT YOU'LL BE DOING

• Lead and grow a team of engineers across a blended FTE/contractor model - running meaningful 1:1s, writing growth plans, managing performance honestly, and giving direct, kind, actionable feedback
• Own delivery outcomes for the Payments platform - partnering with Product to shape the work, not just receive it, and driving predictable, high-quality execution
• Partner with the Sr. Director of Engineering and your engineers to shape and execute the technical roadmap - balancing new product capabilities, infrastructure modernization, and platform reliability
• Keep operational excellence front and center - reconciliation, webhook resilience, retry and idempotency patterns, and data accuracy in the face of third-party outages are the baseline expectation, not a stretch goal
• Raise the hiring bar and own the hiring loop for your team - sourcing, interview calibration, and closing talent
• Contribute as a technical leader in ADRs, design reviews, and high-stakes code reviews; weigh in on tradeoffs with enough depth that your technical voice genuinely sharpens the work
• Drive healthy engineering practices - testing discipline, CI/CD, DORA/flow metrics, and incident response - using evidence to guide improvement rather than opinion alone
• Enable the team to adopt AI-assisted development tooling (Claude Code) effectively and responsibly, modeling the practices yourself
• Cultivate a culture where engineers are confident to change code - when people are afraid to touch something, we move slowly and we break things, and in payments that has a direct financial consequence
• Communicate up, across, and down clearly in writing - roadmaps, status, risks, tradeoffs, and decisions

WHAT WE ARE LOOKING FOR

Core Experience

• 3+ years managing software engineering teams, with a track record of shipping production software at quality
• Experience managing mixed FTE and contractor teams - with a clear sense of where those management approaches converge and diverge
• Strong technical background in Node.js and modern JavaScript/TypeScript service development; you've shipped real systems and are sharp enough to contribute credibly in design and code reviews
• Comfort with Angular or a close-adjacent modern front-end framework
• Hands-on experience leading teams that build payments, fintech, or other integration-heavy systems where data accuracy, idempotency, and reconciliation with external systems are core concerns
• Evidence-based management approach - familiar with DORA, SPACE, or equivalent frameworks, and honest about their limits

AWS & Cloud Architecture

• Production experience working in AWS environments; comfortable reasoning about container-based deployment (ECS/EKS), serverless services, and managed databases
• Experience leading teams through infrastructure modernization (e.g., containerization migrations) without disrupting delivery

Payments & Integration Domain

• Familiarity with payment gateway integrations, tokenization, settlement flows, and dispute/chargeback management
• Understanding of PCI DSS scope reduction strategies and the operational realities of relying on tokenization vendors
• Demonstrated experience hardening integrations with unreliable third-party systems - webhook handling, reconciliation jobs, eventual consistency, and graceful degradation

AI-Assisted Development

• Hands-on user of Claude Code, Cursor, or similar AI-assisted coding environments
• Able to coach a team on effective, responsible use of AI tooling — and honest about where it works and where it doesn't

Additional Requirements

• Coaching-first instinct - you default to asking before telling, and help people think clearly rather than thinking for them
• Direct communicator - you can challenge respectfully, escalate clearly, and write a crisp exec update
• Fluent in Agile, DevOps, and CI/CD practices

WHAT WILL MAKE YOU STAND OUT

• Experience in payments, payroll processing, fintech, or K-12 EdTech
• Background managing teams that operate high-transaction-volume, real-money-movement systems
• Experience running blended onshore/offshore or FTE/contractor engineering teams at scale
• Experience splitting or merging teams as organizational scope evolves
• Hands-on experience with terminal/EMV or in-person payment integrations
• Experience launching hosted checkout, embedded payments, or PSP-style products
• Contributions to engineering excellence programs, management communities of practice, or internal leadership development

The Senior Product Security Engineer will be responsible for securing Navan products, by identifying risks early in the SDLC and developing application security tooling & processes to promote a ‘shift left’ security culture. You will be responsible for developing and scaling the product security function by integrating security in the application development process, conducting security-related research and assessments, developing custom automated security and anti-fraud solutions, and providing security analysis/design/training to the organization.

Reporting to the senior Director of Product Security and Trust, you will contribute significantly to building and scaling an application security program. This position requires both advanced technical skills, strong communication skills, and the ability to influence people. You will be responsible for ensuring the continuous security of Navan customer-facing products and internal tools. You will focus on proactively discovering security vulnerabilities, driving and advising risk remediation based on research, and developing strong partnerships with engineering and product teams to accelerate the release of the software with security by design.

What You’ll Do:

• Act as the tech lead for high-priority product security initiatives, and ensure timely delivery of impactful initiatives.
• Be a key advisor to the overall strategy and roadmap of the Product Security Program.
• Participate in expanding/maturing the Navan S-SDLC program.
• Review product designs for security defects, perform threat modeling and recommend remediations. 
• Work with engineers to identify the tradeoffs of different solutions and recommend the ideal design to meet security requirements.
• Design and develop security tools and processes to be leveraged by development teams.
• Work closely with engineering to sustain processes and/or convert manual integrations to automated pipeline activities.
• Assist in developing custom Security as Code solutions.
• Provide training, guidance, and assistance to development teams early in the SSDLC.
• Cultivate security ownership in the product teams.
• Bring visibility to product/application vulnerabilities in a consistent manner to enable appropriate prioritization and remediation.
• Help build the Red Team and PSIRT functions.

What We’re Looking For:

• Proven experience performing threat modeling and architecture reviews for complex applications.
• Proven experience delivering critical org-wide product security initiatives.
• Proven experience performing application, cloud and mobile penetration testing in high risk environments like financial or healthcare companies.
• 6-8 years of Technical Product Security related experience around SSDLC tooling, automation, remediation advisory, security testing, threat modeling/attack surface analysis.
• Ability to execute in multifaceted and highly technical organizations.
• Ability to provide pragmatic security advice for web applications, mobile applications, and cloud software.
• Experience working in Agile development with experience in technologies such as:
• Cloud environment (AWS, or similar)
• Application security testing tools (SAST, DAST, IAST, SCA, or similar.)
• Infrastructure as code (Terraform, or similar)
• Java Spring Framework (3+ years),  Hibernate or similar ORM technologies, JavaScript/CSS, and Angular
• Containers (Docker, Kubernetes, or similar)
• Continuous integration (Jenkins, Github Actions or similar)
• Integration of Security testing tools into CI pipelines
• Defect tracking (Jira,or similar.)
• Source code management (GitHub, or similar.)
• In-depth knowledge of common application & network protocols, cryptographic primitives, authentication & authorization protocols, and common security threats, such as attack techniques, evasive techniques, and preventative & defensive methods.
• Deep knowledge of cloud operational models and secure SaaS architecture in a containerized microservices world.

Good to have:

• Published contributions to the security community.
• Deep understanding of browser security and modern JavaScript frameworks.
• Knowledge of compliance requirements for industry-standard certifications like PCI DSS, SOC2, HIPAA, and FedRAMP.
• Experience working in small teams and delivering outsized impact.

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Client Experiences tech community. At Realtor, our technology team participates in the research and development of scalable applications, identifying new technologies and trends to enhance our products and business. We build innovative solutions to help customers in their buying, renting, and selling journeys by connecting them with real estate agents and partners. We provide real estate agents and teams with best-in-class tools to manage their listings and grow their businesses. Join us to push the boundaries of what’s possible and learn from world-class talent that promotes a culture of experimentation and learning.

The Engineering Manager is a key technical influencer and contributor through all stages of the software development lifecycle. You will be able to make an impact by leveraging your leadership and collaboration abilities to execute on broad cross-organization initiatives and produce industry-leading solutions. You will be a partner in designing and delivering the best solution for our consumers and clients. 

You will champion the adoption of AI-native workflows, driving team efficiency through the strategic implementation of coding assistants and automated debugging tools. This role requires fostering a culture of AI literacy, where you will mentor the team on effective prompting strategies and the ethical integration of LLMs into the SDLC. You are expected to establish guardrails for code security and quality assurance within AI-assisted workflows and continuously evaluate emerging tooling to keep our engineering practice at the cutting edge.

What will you be doing? 

• Guide engineering teams to rapidly deliver value to our consumers and customers through Agile incremental implementation with high quality 
• Build highly scalable experiences and operationally-excellent services using advanced data architectures deployed on Amazon Web Services 
• Collaborate with technical leads and architects to define a technical roadmap and maintain the overall architectural integrity of the Move products 
• Construct and maintain an environment of integrity, trust, high quality, and continuous improvement 
• Motivate the team and enthusiastically rally them around delivering against a variety of organizational initiatives

What will you bring?

• Minimum 1-2 years experience in leading software engineering teams in a technology company, and 6+ years of related experience
• A strong results and outcome-driven focus, understanding the value derived from rapidly shipping code and learning/iterating on the results 
• Ability to coach and mentor engineers, helping them improve their skills and grow their careers 
• A deep understanding of modern web architectures (React, Angular), popular database technologies (Postgres, MySQL), and cloud platforms (AWS) 
• Hands-on experience with high-level design and familiarity with best practices and design patterns 
• Strong empathy for our customers and a passion for exceeding their expectations, always! 
• A passion for learning, continuous improvement, sharing, and working in a team environment 
• A Bachelors or Masters degree in Computer Science/Engineering or a related field, or equivalent professional experience

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location