We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI.

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to:

· Ship high-quality data/ML/AI powered features end-to-end

· Integrate data/ML/AI capabilities into real customer workflows

· Raise the bar on design, reliability, performance, and engineering practices across the org

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams.

What You’ll Do

· Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform.

· Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions.

· Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale.

End-to-End Full-Stack Product Delivery

· Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences.

· Deliver backend features end-to-end including data schemas and business logic.

· Collaborate with UX and product to ensure responsive and delightful product experiences.

Data / ML / AI Integration

· Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.).

· Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers.

· Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes.

· Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions).

Operational Excellence

· Champion operability: monitoring, alerting, logging, and runbooks for services you own.

· Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows).

· Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy.

· Participate in and help evolve on-call / incident response processes as a technical leader.

Engineering Excellence & Leadership

· Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design.

· Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect.

· Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing).

· Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives.

What You’ll Bring

Experience

· 10+ years of software engineering experience

· Demonstrated experience shipping data/ML/AI powered SaaS products,

· Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX.

· Experience as a senior member of the technical staff in guiding teams and owning critical production systems.

Technical Skills

· Strong proficiency with at least one backend stack, for example:

o Node.js/TypeScript, Java, Go, Rust, or similar

o Designing and building APIs, services, and integrations

· Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch)

· Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts.

· Familiarity with data/ML/AI concepts:

o How ML models or LLMs are exposed as services

o Typical failure modes, latency/throughput considerations, and guardrails

· Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security).

· Strong habits around testing, CI/CD, code reviews, and incremental delivery.

Mindset & Soft Skills

· Product-minded engineer who cares about customer problems, usability, and outcomes, not just code.

· Systems thinker who can balance short-term delivery with long-term architectural health.

· Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams.

· Enjoys mentoring and multiplying the impact of other engineers.

Compensation