Job Title

Senior Software Engineer - AI Platform & Experiences Join to apply for the Senior Software Engineer - AI Platform & Experiences role at CaptivateIQ Base pay range $154,500.00/yr - $224,540.00/yr CaptivateIQ 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. About the Role Were 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 upwhere problems are ambiguous, approaches are still being explored, and engineering plays a critical role in shaping whats possible. Youll 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. What Youll Do 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 stagescharting 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 primitivesincluding offline and online evals, telemetry, human-in-the-loop workflows, safety filters, and red-teamingto 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. What You Bring 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 (01, 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, and implementing AI evaluation and guardrails such as offline and online evaluations, safety filters, policy enforcement, and failure detection. Fluency in modern product and platform development, with handson experience in Python/Django, TypeScript/JavaScript, React, and PostgreSQL, and the ability to build both backend systems and AI-powered user experiences. Strong systems and platform thinking, including APIs, data modeling, scalability, observability, and the unique operational challenges of AI-enabled systems. Sound engineering judgment in AI contexts, balancing rapid experimentation with long-term durability, safety, and maintainability. High comfort with ambiguity and technical decision-making, able to evaluate multiple AI approaches, articulate tradeoffs, and move work forward without perfect specifications. Excellent communication skills and product sensibility, with the ability to collaborate deeply with product, design, and stakeholders to translate AI capabilities into real customer value. Why Youll Love This Role Youll help define how AI is productized in a brand-new EPM offering. Youll work on both platform foundations and userfacing experiences, with real influence over direction. Youll operate in a space where engineering, product, and design are tightly intertwined. Your work will shape not just features, but the longterm AI strategy and technical foundation of the product. Benefits (US-ONLY) 100% medical, dental, and vision coverage including 75% for dependents. Flexible vacation days and quarterly mental health days. (US-ONLY) 401(k) plan. Newest Apple products. Employee Resource Groups supporting DEI goals. Notice to Prospective Candidates Only emails from @captivateiq.com should be trusted. We are aware of active recruitment scams using the CaptivateIQ name. We will never correspond with a free email address such as @gmail.com, @yahoo.com, @hotmail.com, etc. We will not make an offer of employment without multiple rounds of facetoface using secure videoconferencing. We will not ask candidates to cash checks to buy equipment or make a payment to be considered for a position. We will not ask for early personal information such as date of birth, passport details, credit card numbers, bank details, or social security number. We only request sensitive personal information during background checks after an offer is made. Participate in an oncall rotation to provide afterhours support, ensuring timely resolution of critical issues and maintaining system uptime. CaptivateIQ participates in EVerify, a web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. The base range represents the minimum and maximum for this position. For Toronto the range is $154,500 - $184,713. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ''''s competitive total rewards package. #J-18808-Ljbffr