Product Manager – AI Framework & Workflow Automation
About ENSEK ENSEK builds the cloud‑native SaaS software that’s transforming how energy retailers operate, innovate and manage at scale. We help retailers lower operating costs, improve billing accuracy for consumers, and enhance customer experience through automation and AI‑driven insight, all underpinned by modern, cloud‑native architecture. ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re driven by solving complex, real‑world problems and want to build modern technology that accelerates the global energy transition, you’ll feel right at home with us. Position Summary The Product Manager – AI Framework & Workflow Automation owns the foundational AI and workflow infrastructure that enables ENSEK’s agentic AI capabilities. This role is responsible for defining and delivering the strategy, roadmap, and outcomes for ENSEK’s core AI framework — including agent orchestration, LLM operations, cost and performance monitoring, and workflow automation. Working at the intersection of engineering, data science, and commercial product teams, you’ll ensure ENSEK’s AI infrastructure is scalable, secure, cost‑effective, and production‑ready, and that it meaningfully accelerates product teams. Key Accountabilities & Responsibilities Own the strategy, vision and roadmap for the AI framework and agentic workflow platform, defining how agent orchestration, LLM operations, and workflow automation capabilities are built and evolved to support case management and other product domains. Define and own the LLM ops framework — establishing cost monitoring, usage metrics, model performance tracking and observability standards across all LLM-powered features, ensuring production-grade reliability and cost efficiency. Bridge the gap between data science capabilities and engineering infrastructure, working closely with other teams to ensure foundational AI tooling is production ready. Build and prioritise the backlog for AI framework capabilities including agent orchestration, prompt management, evaluation pipelines and model routing — making evidence-based trade-off decisions on build vs. buy with engineering leads. Define governance, security and auditing requirements for agentic systems in collaboration with identity and access management stakeholders. Represent platform AI capabilities to stakeholders across the business, communicating roadmap progress, risks and outcomes clearly to senior leaders and commercial partners. Create and maintain PRDs and specifications for AI framework capabilities, working with engineering to validate technical approaches and define measurable success criteria. Key Outcomes Agentic AI framework in production, with defined ownership of agent orchestration, LLM ops, cost monitoring and metrics across all LLM-powered product features. Case management team unblocked from AI infrastructure dependencies, with MVP ready for beta testing within 3–4 months. LLM cost and performance dashboards live, providing real-time visibility into model usage, quality and spend across the platform. Clear roadmap and OKRs for the AI framework domain, reviewed regularly with engineering and product leadership. Defined governance model for agentic systems including security, auditing and access control requirements. Skills, Knowledge, Experience & Qualifications Demonstrable experience owning and delivering platform or infrastructure product areas end-to-end, ideally within AI/ML, data platform or developer tooling domains. Working knowledge of LLM operations, agent orchestration patterns (e.g. LangChain, LangGraph, AutoGen or similar), and AI/ML production deployment considerations. Ability to make autonomous, data-informed product decisions and communicate complex technical trade-offs clearly to both engineering and non-technical stakeholders. Strong understanding of observability, cost management and monitoring patterns for AI/ML systems in production. Experience in an evolving SaaS, platform or infrastructure product environment is strongly advantageous. Familiarity with experimentation platforms, AI productivity tools and understanding of access management and security considerations for agentic systems is a plus. Company Benefits 25 days’ holiday + bank holidays Option to buy or sell 5 extra annual leave days per year Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks (50% off gym memberships -Virgin Active, Nuffield, PureGym) Pension with 5% matched contribution Regular team‑wide and company‑wide events 2 volunteering days per year to give back Remote‑first working environment with offices in London and Nottingham Apply To This Job