About Trinetra and the Role Trinetra is building an AI filmmaking platform that takes a creator from idea to finished, localised film: script, storyboard, characters, video, voice, dubbing, music, editing and distribution. We combine our own models for multilingual dubbing, script intelligence and video with the best third-party models, and wrap them in workflows creators can actually finish a film with. We are backed by Zee through ZBEL and have a live distribution partner in Bullet, a leading Indian microdrama platform, which gives us real content and real users on day one.

We are hiring a Lead - Product to own what Trinetra builds, in what order, and whether it works. You will be the first senior product leader. This is a builder role: you will write specs, sit with creators, look at generation quality yourself, and ship every week, while also hiring and leading a small group of product managers.

Reports to

CTPO (Co-Founder)

Team Starts as yourself and 1 to 2 PMs; grows to about 5 PMs across pods

Location : Delhi/NCR, on-site.

We do not run hybrid for core roles

Type : Full time, early leadership, meaningful equity

This role is a fit if you have shipped a creative or developer tool and want to build one at the frontier of generative media. It is not a fit if you need a large team, a mature roadmap process, or time to plan before you ship.

What You Will Own You are accountable for outcomes, not a backlog.

- Product strategy and sequencing. Decide which creator workflow Trinetra wins first and what waits. Our core surfaces are storyboard-to-video, dubbing and localisation, face and character consistency, and Vidya, our AI agent that orchestrates them. You decide the order based on creator value and unit economics.
- Activation and creator success. Own the path from first visit to a finished film. Define activation, instrument it, and raise it every month.
- Monetisation and pricing. Design plans, credits and usage-based pricing together with Finance and AI Economics, so that every generation is priced above its cost.
- AI output quality as a product concern. Define what good looks like for each feature with the Head of Intelligence: acceptance criteria, evaluation sets, and the release gate. You do not ship a feature because the demo looks good.
- Trust built into the product. Work with Trust and Safety so that consent, likeness protection, watermarking and provenance are product features from the first release,



especially for face replacement and voice.
- Platform and enterprise surfaces. Shape workspaces, collaboration, APIs and integrations so professional teams, production houses and developers can adopt Trinetra without a custom build each time.
- The product team. Hire, coach and lead product managers who each own a pod and a metric. Set the standard for specs, decisions and customer contact.
- Customer proximity. Spend a fixed part of every week with creators, agencies and enterprise users, and bring that evidence into every roadmap trade-off.

First 90 Days and First 12 Months Horizon

What success looks like

First 30 days

You have used every Trinetra workflow end to end, spoken to at least 20 creators and 3 professional or enterprise users, and written a one-page diagnosis of where creators drop off and where cost per generation is highest.

First 90 days A single product strategy and 2 to 3 quarter priorities agreed with the founders. Activation is defined and instrumented. Each feature has a quality bar and a release gate. The first PM is hired. A weekly ship rhythm is running.

First 6 months

One flagship workflow (storyboard to finished, dubbed film) is measurably better and creators finish films without help. Pricing and credits are live and tied to generation cost. Vidya is scoped around reliable tools rather than demos.

First 12 months A product team of 4 to 5 PMs, each owning a pod and a metric. Self-serve revenue is growing, enterprise and API pilots are running on the same platform, and the team ships improvements every week.

You will be judged on creator activation, retention, paid conversion, successful-generation quality, and gross margin per plan. Targets will be set with you in the first month.

What You Bring Must have

- 8 to 12 years in product, with at least 3 years leading product managers or owning a product line end to end.
- Shipped a creative tool, developer platform, or usage-priced B2B or prosumer SaaS product used by thousands of people.
- Direct experience with AI or generative products: you understand model limits, latency,



cost per output, evaluation, and why quality varies by input.
- Comfort with product economics: pricing, credits or usage billing, gross margin, and the trade-off between quality and cost.
- Strong product judgment shown in writing: clear specs, clear decisions, clear reasons for what you cut.
- You work with engineers and researchers as a peer, and can read an evaluation report or an API spec without translation.
- Based in, or willing to relocate to, Delhi/NCR and work on-site.

Strong signals

- Built or led a video, audio, design or editing product, or a workflow tool for professionals.
- Worked on a product-led growth funnel with free and paid tiers, activation and retention metrics.
- Experience with multilingual or India-first products, or media and entertainment workflows.
- Built for both individual creators and enterprise or API customers on one platform.
- Has been the first or second product hire at a startup, or ran a 0 to 1 product inside a larger company.
- Comfortable with responsible AI topics such as consent, likeness, copyright and provenance.

Not required A filmmaking background, a PhD, or prior experience at a named AI company. We care more about what you shipped and how you decided.

How We Work and the Hiring Process How we work. Small pods, each owning one metric, with product, engineering, AI and design in the same room. We ship weekly. Decisions are written down, reviewed against evidence, and made by the person closest to the metric. We use AI in our own work first: coding assistants, agent-run testing and AI-assisted analysis are the default. We are on-site in Delhi/NCR because speed comes from working together.

What we offer. A founder-level seat in the product, direct access to proprietary models and a live distribution partner, meaningful equity, and the chance to define a new category.

Hiring process

1. Conversation with the CTPO: your work, your judgment, and what you want to build.
2. Product case: critique our current workflow and propose a roadmap for one pod, using a real Trinetra problem (take-home, about 3 hours).
3. Working session with AI and engineering leads: evaluate output quality and decide what ships.
4. Conversation with the CEO and CBO: pricing, go-to-market and how product works with revenue.
5. References and offer.

The process takes about 3 weeks. We will tell you where you stand after each step.

📌 Lead Product Manager (Noida)
🏢 Bullet Microdrama OTT
📍 Noida