Your Opportunity
This role sits at the intersection of applied science, engineering execution, and business outcomes within a technology company focused on translating complex research into production-grade systems. The work centers on turning advanced modeling, large-scale data, and operational platforms into a predictable and transparent delivery roadmap.
You will operate as a technical and operational partner to executive leadership, helping align engineering priorities with commercial and organizational objectives. The role emphasizes visibility, coordination, and structured execution across software, data, and machine learning teams.
As the organization scales, you will help establish the frameworks, signals, and communication layers that allow technical progress to be understood, sequenced, and acted on at the leadership and board level.
Key Responsibilities
- Execution Framework Ownership: Establish and maintain progress tracking systems and dashboards that provide leadership with clear visibility into development velocity and milestone delivery on a recurring basis.
- Requirements Translation: Partner with business and commercial stakeholders to convert customer needs and market signals into well-defined technical requirements for engineering and data teams.
- Executive Partnership: Serve as a technical advisor to senior leadership, communicating tradeoffs, risks, and timelines in a way that supports go-to-market planning and decision-making.
- Architecture Alignment: Collaborate with engineering teams to ensure cloud-native systems and data platforms can support large-scale data processing and model deployment.
- Infrastructure Strategy Support: Contribute to the evolution of machine learning service infrastructure to meet performance, reliability, and scalability needs for enterprise-facing use cases.
- Dependency Management: Coordinate the lifecycle of interconnected data pipelines, models, and services, ensuring upstream and downstream changes are communicated and integrated across teams.
- Sprint and Ritual Leadership: Lead day-to-day execution practices, ensuring work is well-scoped, documented, and tracked through consistent engineering workflows.
- Cross-Team Orchestration: Manage critical paths across data engineering, machine learning, and cloud infrastructure to prevent delivery blockers and maintain development momentum.
- Resource and Priority Sequencing: Support leadership in making informed decisions about technical investments, tradeoffs, and the ordering of major initiatives.
Tech Stack
- Cloud Platforms: AWS, GCP
- Data and ML Systems: Large-scale data ingestion pipelines, machine learning pipelines, model deployment infrastructure
- Program and Delivery Tools: Engineering ticketing systems, dashboarding and reporting tools, sprint and workflow management platforms
Your Know-How
- 4-6 years of experience building and shipping production web applications as a full stack engineer
- Strong experience with Node.js and TypeScript for backend development
- Strong experience with React and modern frontend development
- Experience with Next.js or similar React-based frameworks
- Experience working with backend frameworks such as NestJS, Express, or similar
- Solid understanding of relational databases such as PostgreSQL
- Familiarity with NoSQL data stores such as Firestore or similar
- Experience designing, building, and consuming REST APIs
- Proficiency with modern CSS frameworks and responsive design principles
- Understanding of authentication systems and security best practices
- Familiarity with financial systems, payment processing, or fintech products
- Strong testing practices across both backend and frontend codebases
- Ability to balance backend performance with frontend user experience considerations
- Clear communication skills and ability to work effectively across teams
- Demonstrated ownership of code quality, system reliability, and user experience
It’s a Bonus If
- You have hands-on experience with Next.js and server-side rendering
- You have worked with NestJS or similar service-oriented backend frameworks
- You have experience using Firestore or other NoSQL databases in production
- You are familiar with Clerk or similar authentication platforms
- Your background includes working with financial concepts such as ledgers, transactions, or reconciliation
- You have experience operating services on GCP
- You have built or integrated with payment providers or banking APIs
- You have used Prisma ORM in production environments
- You have contributed to open-source projects
- You bring design sensibility and have collaborated closely with product designers