Product Manager

### About Techdome
At Techdome, we turn AI ambition into enterprise-grade products. Our engineers, designers, and AI specialists build LLM-powered applications, RAG systems, conversational assistants, autonomous agents, and workflow automation for clients in FinTech, Healthcare, E-commerce, EdTech, Logistics, and SaaS. Every product ships with the integrations, security, and compliance that enterprise clients demand.
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### Why This Role Exists
Anyone can get a GenAI prototype working in a weekend. The hard part is everything after: passing a security review, staying inside budget, keeping costs per query sane, and earning the trust of real users.
We’re looking for a Product Manager who treats that hard part as the real job. You’ll own products end to end, from the first client conversation through launch and long-term growth, and you’ll be the person who spots the vague requirement, the missed handoff, or the quiet risk while it’s still cheap to fix.
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### What You’ll Own
Product vision and scope
- Shape a client’s idea into a clear product definition with realistic milestones, timelines, and budgets.
- Go deep on each client’s industry, regulations, and compliance obligations, and convert them into requirements engineers can build from without guessing.
Taking GenAI from prototype to production
- Partner with ML engineers to harden LLM, RAG, agent, and automation prototypes into reliable, scalable, and safe systems.
- Define the metrics that matter in production, including accuracy, latency, evaluation scores, and cost per query, and review them continuously.
- Make sure every AI feature integrates cleanly with client systems via APIs and meets enterprise expectations for security, data privacy, and uptime.
Leading across disciplines
- Align UI/UX, frontend, backend, mobile, QA, DevOps, and business analysts so handoffs are explicit and nothing relies on assumption.
- Plan team capacity and keep every party accountable to their commitments.
- Manage third-party partners, including LLM and cloud providers.
Managing risk, change, and communication
- Run structured change control whenever scope, timeline, or budget shifts.
- Surface and escalate delivery, technical, and AI-specific risks early: hallucinations, prompt injection, data leakage, bias, and runaway costs.
- Track work in JIRA or Azure DevOps and give clients and leadership clear, no-surprise updates.
- Use AI tools to accelerate documentation, planning, tracking, and reporting.

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### What You Bring
Must have
- 2+ years as a Product Manager shipping complex enterprise software on time and on budget.
- Hands-on GenAI experience, ideally having launched at least one LLM, RAG, or agent-based product, plus a solid grasp of the AI lifecycle and its risks.
- A track record of leading cross-functional teams across design, engineering, QA, and DevOps.
- Working knowledge of Agile (Scrum/Kanban) and Waterfall, and of tools like JIRA, Azure DevOps, Trello, or Asana.
- Enough technical depth in the SDLC, APIs, microservices, databases, cloud (AWS/Azure/GCP), and CI/CD to challenge estimates and earn engineers’ respect.
- Sound judgment on risk, change, vendors, and stakeholders.
- Clear, confident written and verbal communication, including with senior client executives.
Nice to have
- Familiarity with LLM evaluation, guardrails, and cost-optimization practices.
- PMP, PRINCE2, CSM, CSPO, or an AI/cloud certification.
- Deep domain expertise in FinTech or Healthcare.
- Experience across industries and the curiosity to pick up a new one fast.

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How We’ll Measure Success

- Day 30: You know how Techdome delivers, you’ve met the team, and you’re up to speed on active client projects.
- Day 60: You independently lead at least one project, owning the plan, the risks, and the client relationship.
- Day 90: You land a key milestone, make a visible improvement to how we run projects, and have earned the trust of both team and clients.

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What’s in It for You

- Technically demanding GenAI work across multiple industries.
- Daily collaboration with seasoned designers, engineers, QA specialists, and AI experts.
- A genuine say in how projects are planned, run, and delivered.
- Room to build deep expertise at the frontier of GenAI.