Product Manager

What You Will Own

Product Strategy & Roadmap

• Define and own the product roadmap across all three accelerators — Convogent, Velogent, and Kubogent.
• Translate business goals and customer needs into a coherent, prioritised roadmap that aligns across platforms.
• Drive quarterly and annual planning with clear north-star metrics and milestone milestones for each accelerator.
• Identify opportunities to unify or modularise platform capabilities across the accelerator portfolio.

Customer & Stakeholder Interface

• Act as the primary product interface for enterprise customers — own product discovery conversations, gather deep requirements, and close the loop on delivered value.
• Work directly with the CEO to align product direction with Aivar's growth and commercial strategy.
• Partner with the Sales and Solutions team to build product positioning and go-to-market narratives for each accelerator.
• Run structured Voice of Customer (VoC) programmes — user interviews, feedback synthesis, and win/loss analysis.

Engineering Collaboration

• Be the product owner in sprint cycles — write crisp, unambiguous user stories, PRDs, and acceptance criteria.
• Maintain a groomed, prioritised backlog and make hard trade-off calls when scope conflicts arise.
• Work closely with architecture and engineering leads to understand technical constraints and feasibility before committing to roadmap timelines.
• Define and track release milestones; drive cross-team readiness for product launches.

Product Metrics & Outcomes

• Define and monitor KPIs for adoption, engagement, retention, and customer value realisation across each platform.
• Build feedback loops between product usage data and roadmap decisions.
• Own post-release retrospectives and continuously improve the product development process.

What We Are Looking For

Must-Have Experience

• 7–12 years of product management experience, with at least 3 years directly on AI, ML, or agentic platform products.
• Proven track record of shipping enterprise-grade SaaS or PaaS products end-to-end, from discovery to launch.
• Deep understanding of LLM-based systems, agentic architectures, RAG pipelines, and multi-agent orchestration — not as a spectator, but as someone who has built or managed these products.
• Experience working in or with early-stage, fast-moving companies where the PM defines structure rather than inherits it.
• Strong ability to write precise, developer-ready requirements without over-specifying implementation.

AI & Technical Depth

• Fluent in the language of AI product development: fine-tuning vs. RAG, agent tool use, prompt engineering, context management, latency-quality trade-offs.
• Capable of engaging credibly with ML engineers, platform architects, and enterprise CTOs in the same conversation.
• Familiarity with cloud-native deployment (AWS preferred), API-first product design, and enterprise integration patterns.
• Ability to evaluate build vs. buy vs. integrate decisions for AI capabilities with informed judgment.

Product Thinking & Execution

• Structured thinker who can distill ambiguous market signals into clear product hypotheses.
• Comfort operating at multiple altitudes — from strategic roadmap decisions to writing detailed acceptance criteria on the same day.
• Strong prioritisation instincts; knows when to push back, when to ship, and when to wait for more signal.
• Data-informed decision-making with a bias for action over analysis paralysis.

Communication & Influence

• Exceptional written and verbal communication — able to write a one-pager for the CEO and a technical spec for an engineer with equal clarity.
• Comfortable presenting to enterprise customers, navigating product objections, and building trust through product credibility.
• Collaborative by default; able to influence without authority across engineering, sales, and leadership.

Good to Have

• Prior experience as a founder, early PM, or in a 0-to-1 product role at an AI startup.
• Exposure to conversational AI platforms, workflow automation tools, or enterprise agent frameworks.
• Familiarity with enterprise customer contexts in BFSI, healthcare, or government — sectors Aivar actively serves.
• Experience with product analytics tools (Mixpanel, Amplitude, or similar) and A/B experimentation frameworks.
• Contributed to or managed developer-facing products (APIs, SDKs, or platform toolkits).

Why Aivar Innovations

Aivar is an AI startup building production-grade agentic platforms for enterprise customers. We are not building demos — our accelerators are live, generating commercial value, and on a strong growth trajectory.

• You will be the first dedicated PM — your decisions will shape the product organisation and culture as we scale.
• Direct access to the CEO and the founding team; no layers between your ideas and execution.
• Work on genuinely hard problems in AI product design — multi-agent orchestration, enterprise reliability, and human-AI collaboration patterns.
• Be part of a team that is technically sharp, moves fast, and holds high product quality standards.
• Competitive compensation with meaningful equity participation.