Senior Software Engineer - AI Platform

Captivate

IQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader enterprise performance management challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures, we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.

Join a talented, fast-growing team committed to solving some of the most complex and impactful problems in sales performance management.

We’re looking for a Senior Software Engineer who thrives at the intersection of AI, product discovery, and early-stage system design. This role is focused on building AI-powered platform capabilities and user experiences from the ground up—where problems are ambiguous, approaches are still being explored, and engineering plays a critical role in shaping what’s possible.

You’ll help define how AI shows up in a brand-new EPM product: from internal platforms and abstractions to customer-facing workflows that turn complex data into actionable insight. If you enjoy experimenting with new capabilities, translating emerging technology into real product value, and building systems that enable rapid iteration, this role is for you.

• Lead early-phase AI systems:
  Design and build AI-first user experiences from the ground up, pairing rapid experimentation with strong measurement loops to evaluate performance, relevance, safety, and cost in production.
• Influence product direction:
  Bring an engineering-driven perspective to what we build, how we build it, and which tradeoffs are worth making at early stages—charting a multi-step path that turns quick wins into durable, scalable capabilities.
• Design and build scalable AI systems:
  Once direction is validated, evolve prototypes into reliable, maintainable, and observable production systems, balancing iteration speed with long-term platform health.
• Build AI-powered product experiences:
  Develop AI-assisted modeling and authoring workflows to accelerate plan design, data mapping, and explanation for customers.
• Deliver retrieval-augmented insights:
  Implement contextual help, explainers, and policy Q&A grounded in customer data and system metadata using robust retrieval-augmented generation patterns.
• Own guardrails and evaluation:
  Design and implement evaluation and safety primitives—including offline and online evals, telemetry, human-in-the-loop workflows, safety filters, and red-teaming—to ensure trustworthy AI behavior.
• Create reusable AI platform components:
  Build shared infrastructure for prompt orchestration, hybrid retrieval, caching, tracing, evaluation, and cost/performance controls that enable teams to ship AI features safely and efficiently.
• Raise the technical bar:
  Contribute to architecture, coding standards, testing strategy, and mentoring; promote best practices across AI systems, platform design, and production readiness.

• 6+ years of software engineering experience shipping production systems in fast-moving environments, including significant ownership of architecture, technical direction, and quality.
• Demonstrated success building AI-powered products or platforms in highly exploratory settings (0→1, greenfield initiatives, early AI features), where model choice, system design, and product experience evolved together.
• Hands‑on experience designing, building, and operating AI systems in production, including:
• Integrating LLMs or other models into real user workflows
• Designing AI‑first or AI‑assisted product experiences
• Managing inference performance, latency, cost, and reliability
• Building feedback loops to continuously improve model behavior
• Experience implementing AI evaluation and guardrails, such as:
• Offline and online evaluations
• Safety filters, policy enforcement, and failure detection
• Human-in-the-loop workflows and red‑team­ing
• Telemetry, tracing, and model performance monitoring
• Fluency in modern product and platform development, with hands‑on experience in…