• Product ownership across three products: You will own and refine our three core products – the Otark Marketplace (PPA platform), Green SPOT (our spot exchange for green power) and 1-Click PPA (the fully automated PPA execution). • Translate the energy domain: You will translate the realities of the energy market – PPA execution, balancing group management, spot and forward trading – into clear product requirements. • Customer discovery with industry professionals: You will conduct in-depth conversations with corporate buyers, direct marketers and traders on equal footing. • Strategy & roadmap: You own your features as a “mini-CEO” from the first idea through domain validation to go‑live – prioritizing based on real market and customer value. • High-efficiency handoff: You work closely with our engineering team and deliver not vague tickets but precise, well-thought-out, domain-validated requirements. Where it’s faster, you build prototypes yourself (see AI workflow).

• Own and drive the roadmap for scaling the connector ecosystem, including the number, quality, and reliability of integrations (MCP servers, third-party APIs, and app integrations) that power AI features. • Prioritise integrations and connectors based on user demand, business impact, and engineering effort. • Write clear product specifications and acceptance criteria for new connectors, working closely with AI engineers. • Define and own the framework for evaluating, onboarding, monitoring, and maintaining connectors over time. • Translate AI capabilities, including LLM features, agentic workflows, and tool use, into clear, buildable product requirements. • Partner with the AI engineering team on prompt systems, structured outputs, and evaluation pipelines, ensuring product requirements are reflected in technical design. • Make pragmatic build-versus-buy decisions and define the scope of integration infrastructure. • Own features end-to-end, from discovery and specification through QA, launch, and post-launch iteration. • Define success metrics for connectors and AI features, including adoption, reliability, latency, cost, retention, and engagement impact. • Design and run experiments and A/B tests, making ship, iterate, or kill decisions based on quantitative results. • Build and maintain dashboards in Mixpanel and use observability tools such as Langfuse to monitor AI and connector performance and health. • Surface actionable insights and recommendations to engineering and leadership teams on a regular cadence. • Own and prioritise the integrations product backlog. • Collaborate closely with AI engineering, growth, data, and billing teams to deliver initiatives reliably and on time. • Communicate technical trade-offs, priorities, and roadmap decisions clearly to both technical and non-technical stakeholders. • Use AI tools (Claude and others) as a core part of the daily workflow for prototyping, specification writing, analysis, and problem-solving.

• Own the core compliance control plane by defining and delivering the unified API and self-service platform that serves as the single source of truth for all large-scale, ongoing compliance program execution • Drive operational autonomy and safety by leading the strategic shift to enable non-engineering teams to autonomously manage global compliance programs end-to-end, building in guardrails and intelligence to eliminate operational errors and achieve zero unintended business disruptions • Maximize engineering and data leverage by ensuring the platform's architecture and data model are highly accurate and extensible, shifting the engineering focus from manual execution and data cleanup to platform innovation and automation across all operational workflows

• Own key parts of our reporting product surface area and reporting workflows end-to-end • Help teams transform complex fund data into investor-grade outputs (quarterly/annual reporting, capital account statements, disclosures) • Drive product decisions that balance accuracy, compliance, and usability • Partner closely with engineering, design, and operations to deliver a system customers can rely on • Drive roadmap and execution for reporting workflows and customer-facing reporting experiences • Translate domain requirements into clear product specs (inputs → transformations → outputs) with strong edge-case handling • Partner with engineering to define the right primitives for scalable report generation (templates, data contracts, versioning) • Collaborate with design to make complex reporting setup and review flows intuitive and fast • Work with operations and customer-facing teams to identify friction, ensure correctness, and improve time-to-report • Define and track success metrics across adoption, report quality, operational efficiency, and reliability • Maintain a high bar for data integrity, traceability, and customer trust