About the Company
Our client is building an AI -native operations platform for commercial trades such as HVAC, plumbing, fire safety, and related services—large, essential industries that still operate with manual processes and fragmented systems.
Clara works alongside existing systems and helps run day -to -day operations, including customer intake, scheduling, dispatch, and payments. The product is live, revenue -generating, and scaling with real customers.
The company is past the experimental phase and operating in a post–product -market -fit, pre -scale stage, with strong customer adoption, retention, and rapid growth.
Why This Role Exists
- The company has clear market pull, paying customers, and momentum. The next phase requires stronger end -to -end ownership across product and execution.
- Today, product direction, prioritisation, and execution decisions are highly founder -driven. This role is designed to add a senior execution leader who can take ownership of product outcomes, introduce operating discipline, and align Product, Engineering, and GTM as the organisation scales.
- This hire is critical to building a durable, repeatable execution engine and reducing dependency on any single individual for day -to -day decision -making.
The Role
- This is a founding -level product leadership role focused on execution, prioritisation, and cross -functional alignment.
- It is not a narrowly scoped PM role and not a people -management -only role.
- You will work closely with Arnav Anand (Founder & CEO) and act as a senior point of accountability across product delivery, engineering execution, and GTM alignment.
- This role sets direction and operating clarity for the broader product and engineering organisation, including Product Managers and senior engineers.
Role: Founding Product Leader (Product & Engineering Execution)
Experience: 8 to 15 Years
Location: Pune or Bangalore, India, you can work from any of the one location from company offices located in the city.
Employment Type: Full -time, Work From Office
Key Responsibilities
- Own end -to -end product execution, from problem definition to delivery and measurable outcomes
- Translate customer, business, and GTM inputs into clear priorities and roadmap decisions
- Establish and run a strong execution cadence (planning, prioritization, reviews, release readiness)
- Partner closely with Engineering to improve delivery predictability and reduce execution thrash
- Balance speed with long -term product quality and platform thinking
- Push back when needed using data, judgment, and business context
- Act as the connective layer between Product, Engineering, and GTM
- Raise the bar for ownership, decision quality, and accountability across teams
AI and Technology Context (Mandatory)
- This company is AI -first. AI product experience is not a “nice to have” for this role—it is required.
- You do not need to code daily, but you must be comfortable operating in a modern, agent -driven AI product environment and making informed trade -offs across product, engineering, and architecture.
Relevant context you should have experience with (directly or adjacent leadership ownership):
- LLM -driven workflows and agentic product experiences (not “AI features” bolted onto SaaS)
- Retrieval -Augmented Generation (RAG), evaluation/quality loops, and prompt/agent iteration cycles
- Agent orchestration frameworks such as LangChain, CrewAI, AutoGen (or equivalent patterns)
- Vector databases such as Pinecone, Weaviate (or equivalents)
- Data -intensive backend systems: MySQL/PostgreSQL, schema design, performance trade -offs
- Cloud environments: AWS or GCP (cost/performance/reliability trade -offs)
- Product that coordinates multiple systems and real -world workflows (high operational complexity)
- This is intentionally specific to filter out generic “AI exposure.” Candidates whose AI experience is limited to surface -level integrations or unrelated stacks without agentic/LLM workflow depth are unlikely to be a fit.
What Success Looks Like
- Product priorities are clear and stable despite competing inputs
- Engineering execution becomes more predictable with fewer last -minute escalations
- Strong alignment across Product, Engineering, and GTM
- Teams operate with higher confidence, clarity, and retention
- Founder time shifts from tactical execution to strategic leverage
Who This Role Is For
You may be:
- A senior Product Leader with deep experience working alongside engineering
- An Engineering Leader with strong product judgment and execution ownership
- A startup operator or ex -founder who has operated in ambiguity and growth
You bring:
- 8–15+ years of experience in SaaS or B2B technology companies
- Proven ownership of complex product areas end -to -end
- Strong prioritization and decision -making under uncertainty
- Comfort operating in high -accountability, fast -changing environments
- High standards for execution, clarity, and outcome
- Mandatory experience building/scaling AI -native products (agentic/LLM workflow depth)
Who This Role Is Not For
- Candidates seeking narrowly defined PM responsibilities
- Those who require detailed instructions or rigid structure
- Those uncomfortable with ambiguity, ownership, or senior accountability
- Candidates without meaningful AI -native product experience
Location & Work Style
â Pune or Bangalore, India
â Work from the office with high collaboration
â Close, ongoing work with the Founder/CEO and core leadership team
Compensation & Benefits
â Competitive salary (finalised with strong candidates)
â Meaningful ESOPs
â Medical insurance and standard benefits
â Significant ownership, influence, and long -term impact
Hiring Process
â High -bar, low -volume process
â Limited number of interviews
â Focus on judgment, ownership mindset, and execution capability
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