Discovr AI

About the company

We’re building an agentic, AI-native infrastructure for creator advertising, automating the end-to-end campaign lifecycle (brief → creator selection → outreach/follow-ups → approvals → delivery QA → reporting) with enterprise-grade workflows, reliability, and measurable outcomes.

The role

As a Full Stack Engineer, you will design and build core systems across backend, product surfaces, integrations, and LLM-powered automation. You’ll take high ownership, move quickly, and set strong engineering foundations as we scale. This is an in-office role in Mumbai. 

Location: Mumbai (In-office, 5 days/week)

Type: Full-time

Experience: 5 + years (flexible; we value ownership and shipping ability over years)

Reports to: Founder/CEO (partners closely with PM)

Traction: Working with large enterprises and managing seven-figures per month in influencer spend 

What we’re looking for

Must-haves

• Strong software engineering fundamentals with a track record of shipping production systems
• LLM/AI experience is required: you’ve shipped LLM-powered features to users (agents/tool-calling/RAG/evals/guardrails—at least some of these)
• Comfortable owning end-to-end systems (backend + APIs + data + enough frontend to deliver outcomes)
• Strong practical skills in at least one stack such as Node.js / TypeScript / Go
• Experience with:

○ REST APIs, webhooks, auth (JWT/OAuth basics), role-based permissions

○ production debugging (logs/metrics/traces), handling edge cases, writing tests

○ core data stores (e.g., Postgres) and common cloud primitives

• High ownership, speed, and strong product intuition
• Mumbai in-office availability (or immediate relocation)

Nice to have

• Experience with workflow-heavy products: marketplaces, fintech, logistics, AdTech, B2B SaaS
• SQL comfort and familiarity with analytics pipelines / event schemas
• Multi-tenant enterprise features: audit logs, data isolation, SSO (now or later)

What you’ll do

Build core product workflows (enterprise-grade)

• Implement robust workflow/state systems (approvals, retries, exceptions, audit logs)
• Build internal tooling/admin panels to scale operations and reduce manual effort
• Deliver customer-facing dashboards and reporting experiences

Build and ship LLM/agent capabilities (must-have)

• Implement agentic workflows using LLMs + tools (retrieval, structured actions, messaging sequences, QA checks)
• Build guardrails: policy checks, human-in-the-loop review points, safe fallbacks, and prompt/tool versioning
• Create evaluation & monitoring: offline test sets, automated checks, and online metrics to maintain output quality over time

Integrations + platform plumbing

• Build and maintain integrations via APIs/webhooks
• Own instrumentation: event tracking, data quality checks, and reporting accuracy
• Implement permissions, access controls, and reliability patterns appropriate for enterprise usage

Engineering culture + velocity

• Ship frequently with high quality (tests, code review, CI, observability)
• Collaborate closely with product on discovery, prioritization, and customer feedback
• Contribute to hiring and mentoring as the team grows

About us

We’re building an agentic, AI-native platform for creator advertising — automating the campaign lifecycle (brief → creator selection → outreach/follow-ups → approvals → delivery QA → reporting).

The role

We’re hiring a Product Manager who can code and can drive product end-to-end while working extremely closely with the engineering team. This is a builder role: you’ll design agent workflows, run tight execution, and help shape the product foundation for scale. This is an in-office Mumbai role.

Location: Mumbai (In-office, 5 days/week)

Type: Full-time

Experience: 2–6 years (flexible for exceptional builders)

Reports to: Founder/CEO

Works with: Engineering (small team), and later Design/Data/Ops Traction: Working with large enterprises and managing seven-figures per month in influencer spend

What we’re looking for

Must-haves

• 2–6 years shipping software products (years flexible if you can prove ownership)
• Strong technical fluency end-to-end:

○ APIs/webhooks, auth basics, event tracking & analytics

○ ability to reason through edge cases, reliability, and scalability tradeoffs

• Can code (proficient in Python/TypeScript/JavaScript/Go) and comfortable doing hands-on work when needed
• Demonstrated ability to run user interviews and convert insights into shipped outcomes
• Proven shipping in fast cycles with real outcomes/metrics
• High ownership, crisp communication, strong execution leadership
• Mumbai in-office availability (or immediate relocation)

Nice to have

• Built LLM/AI features with real users (prompts + tools + evaluation/guardrails)
• Experience with marketplaces, AdTech/measurement, creator/influencer products, B2B SaaS
• SQL comfort and familiarity with analytics/debugging production systems

What you’ll do

Customer discovery & user interviews (core part of the job)

• Do weekly user interviews with enterprise marketing teams, agencies, and creators
• Turn messy feedback into clear product bets, workflows, and experiments
• Build strong product intuition by staying close to users and real campaign execution
• Validate new features with rapid prototypes and structured feedback loops

Build the agentic AI product

• Design agent workflows: what the agent does, what humans approve, and how exceptions escalate
• Define tool usage for the agent (retrieval, matching, messaging sequences, QA checks)
• Specify evaluation + guardrails (quality metrics, fallbacks, audit logs, safety/brand checks)

Own core platform workflows (enterprise-grade)

• Own campaign workflow states, approvals, permissions, and internal ops tooling
• Drive integrations (APIs/webhooks) and reliable execution paths
• Define instrumentation (event schema) and ensure reporting accuracy + trust

Drive execution with engineering

• Write specs engineers can build from (flows, acceptance criteria, edge cases)
• Run sprint planning, prioritization, release readiness, QA
• Make scope tradeoffs quickly and maintain a weekly shipping cadence

Hands-on building (coding)

Depending on your strengths, you may:

• build internal tools/admin screens, scripts, prototypes, integrations, data utilities
• write quick POCs for agent workflows, tool definitions, or evaluation harnesses
• help debug production issues using logs/SQL

What success looks like

• Weekly cadence of user interviews → clear insights → shipped improvements
• MVP agent workflow shipped with measurable time savings + quality controls
• Reduced manual ops per campaign through automation + internal tooling
• Trusted reporting and instrumentation (customers trust the numbers)
• Consistent weekly shipping cadence and strong engineering throughput