Founding Product Engineer at The Persona Labs · Raipur, Bhilai · 0 - 4 years · ₹7L - ₹13L / yr (ESOP available) · Posted 25 Sep 2026

ABOUT
The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.
We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.
DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP
THE AI LAYER
Alongside the platform, we are building a proactive personal companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders and experiences.
THE OPPORTUNITY
We are looking for a Founding Product Engineer to help build the platform from the ground up. This is a 0→1 product engineering role where you work directly with the founder and engineering team to turn ambiguous product problems into working software.
You will be expected to:
Understand the problem → explore solutions → make trade-offs → design → build → ship → measure → improve.
WHAT YOU WILL BUILD & OWN
MOBILE
Onboarding, profiles, discovery, interactions, messaging, activities, and companion experiences.
SOCIAL SYSTEMS
Relationships, social graph, compatibility, and interaction flows.
BACKEND
APIs, services, authentication, notifications, and background processes.
DATA
PostgreSQL models, user/activity data, analytics, and behavioural signals.
REAL-TIME
Messaging, live interactions, notifications, and event-driven workflows.
AI-ENABLED
Recommendations, personalization, and companion-powered experiences.
INFRASTRUCTURE
Cloud deployment, CI/CD, monitoring, reliability, and cost management.
WHAT YOUR DAY-TO-DAY LOOKS LIKE
• Build and ship mobile and full-stack product features end-to-end.
• Design APIs, database models, and backend services for a social product.
• Translate ambiguous product problems into simple, reliable technical solutions.
• Make architecture and engineering trade-offs for performance, scalability, security, and cost.
• Work closely with the founder, product/design team, and Companion Intelligence engineer.
• Prototype quickly, test assumptions, and iterate based on user behaviour and product feedback.
• Own features from problem → architecture → implementation → deployment → improvement.
• Help establish engineering practices around testing, monitoring, security, and reliability.
WHO SHOULD APPLY
• Experience: 0–4 years, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.
• Fundamentals: Strong CS/software engineering fundamentals.
• Evidence of Building: We value what you have built more than the number of years on your résumé. Shipped apps, strong side projects, hackathons, internships, open source, or startup work are highly valued.
• Mindset: High ownership, curiosity, strong fundamentals, clear communication, learning velocity, and the ability to work through ambiguity.
WHAT WE LOOK FOR
MOBILE CAPABILITY
Can you build and ship a polished mobile experience?
ENGINEERING DEPTH
Do you understand why a system works, not just how to make it run?
PRODUCT JUDGMENT
Can you determine what should be built when the problem is ambiguous?
ARCHITECTURE / SYSTEMS
Can you reason across APIs, databases, services, real-time systems, scale, and cost?
SPEED OF EXECUTION
Can you move from idea → prototype → production quickly without compromising fundamentals?
AI FAMILIARITY
Do you understand how modern AI can become a useful, reliable product capability?
BUILD WITH US
You will join at a stage where many answers do not exist yet. You will not simply implement someone else’s architecture, you will help decide what the architecture and product should become.
CAREERS:
Apply with your resume, GitHub, portfolio or shipped work.
https://forms.gle/12YpUSBY2Sqs5xjp8
www.thepersonalabs.com

About The Persona Labs
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What are we looking for?
AI leverage:
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- Comfortable with prompt engineering and judging AI output for production-readiness.
Engineering depth and delivery:
- Solid fundamentals: problem-solving, data structures, and how systems fit together.
- At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB).
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- Work with performance-oriented teams driven by ownership and passion.
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Founders
- Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
- Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)
About Technology Team
Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.
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🧠 About Alpha
Modern revenue teams juggle 10+ point-solutions. Alpha unifies them into an agent-powered platform that plans, executes, and optimises GTM campaigns—so every touch happens on the right channel, at the right time, with the right context.
Alpha is building the world’s most intuitive AI stack for revenue teams —to engage, convert & scale revenue with an AI powered GTM team. l
Our mission is to make AI not just accessible, but dependable and truly useful.
We’re early, funded, and building with urgency. Join us to help define what work looks like when AI works for you.
🔧 What You’ll Do
You’ll lead the development of our AI GTM platform and underlying AI agents to power seamless multi-channel GTMs.
This is a hybrid UX-engineering role: you’ll translate high-level user journeys into interfaces that feel clear, powerful, and trustworthy.
Your responsibilities:
- Design & implement end-to-end features across React-TS/Next.js, Node.js, Postgres, Redis, and NestJs micro-services for LLM agents.
- Build & document scalable GraphQL / REST APIs that expose our data model (Company, Person, Campaign, Sequence, Asset, ActivityRecord, InferenceSnippet).
- Integrate third-party APIs (CRM, email, ads, CMS) and maintain data sync reliability > 98 %.
- Implement the dynamic agent flow builder with configurable steps, HITL checkpoints, and audit trails.
- Instrument product analytics, error tracking, and CI pipelines for fast feedback and safe releases.
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✅ What We’re Looking For
- 1–3 years experience building polished web apps (React, Vue, or similar)
- Strong eye for design fidelity, UX decisions, and motion
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- Competitive salary + high-leverage early equity
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Job Description:
Head of Engineering — Chennai (Onsite)About the Role
Job Details
Position: Head of Engineering
Department: Engineering
Experience: 6–8 Years
Employment Type: Full-time
Location: Chennai, On-site
Salary: Up to ₹24,00,000 per annum
About the Role
We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.
This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.
What You’ll Do
- Own engineering end to end, including architecture, development, delivery, quality, and hiring.
- Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
- Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
- Improve development velocity and reduce cycle time without compromising product quality.
- Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
- Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
- Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
- Build, mentor, and scale a high-performing engineering team.
What We’re Looking For
- 6–8 years of professional software engineering experience.
- Experience taking at least one product from zero to launch.
- Experience building and scaling at least one product to a large user base.
- Strong hands-on expertise in Python and Node.js.
- Comfortable working with React Native / Expo.
- Strong understanding of PostgreSQL and database fundamentals.
- Previous experience leading a small engineering team.
- A leadership style based on ownership and technical example, rather than simply assigning tickets.
- Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
- Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
- Based in Chennai or willing to relocate.
How We Work
We operate with high pace, high ownership, and short feedback loops.
You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.
If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.
How to Apply
Join Aura Gold and be part of building a high-performing team from the ground up!
Ability to commute/relocate:
- Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)
Education:
- Bachelor's (Preferred)
Language:
- English, Tamil , Hindi (Required)
Location:
- Chennai, Tamil Nadu (Chennai, Chennai District) (Required)
Work Location: In person
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PowerTech Digital is a UK software development and digital consultancy working with enterprise clients on digital transformation, data architecture, and AI-enabled delivery. We're a small, senior team that ships fast by pairing strong engineering judgement with AI-native tooling — and we're productising that approach.
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The role
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What you'll do
- Run the deployment pipeline: take applications built by citizen developers from a GitHub handover through security audit, remediation, hardening, and release to Azure (AWS/GCP as we expand).
- Lead handover calls (30–60 min) with the people who built the apps — understanding what they made, what it touches, and who needs access.
- Execute AI-assisted security audits using Claude Code against our published checklist — auth and authorisation, RLS policies, secrets handling, data exposure, dependency vulnerabilities — and produce our standardised audit report.
- Implement production hardening: migrate authentication to Microsoft Entra ID (tenant-locked app registrations), move secrets into Azure Key Vault, configure CI/CD with GitHub Actions and OIDC federated credentials.
- Own and improve the infrastructure templates (Bicep/Terraform + cloud-init): per-app resource groups, self-hosted Supabase stacks, automated backups to Blob Storage, monitoring with Application Insights.
- Operate live tier 2 stacks: updates, backup verification, restore tests, secret rotation.
- Build product: full-stack features on client engagements and internal tooling — including AI integration work (LLM APIs, agents, structured extraction, evals).
- Make the service better every cycle: tighten the audit checklist, automate the manual steps, improve the templates. Your job is to make your own job smaller.
What you must bring
- 3–6 years as a full-stack engineer with Node.js and TypeScript/React at the core — you're genuinely strong at building product, not just gluing services.
- Must have experience managing and maintaining self-hosted Supabase
- PostgreSQL in production; Supabase experience (RLS, auth, migrations, edge functions) is a significant advantage.
- Real Docker/Compose ownership and CI/CD you've built yourself (GitHub Actions preferred).
- Cloud fundamentals — ideally Azure (VMs, networking, Key Vault, Entra ID); strong AWS/GCP experience with willingness to go deep on Azure also works.
- AI integration experience in shipped products — you've built with LLM APIs (Anthropic, OpenAI), understand prompting, structured outputs, and where AI belongs (and doesn't) in a product.
- Security instincts: you think about what an app exposes before you think about what it does.
- Excellent written and spoken English — you'll run client-facing calls and write reports that IT directors file.
The mindset we're hiring for
Product engineering, not ticket-taking. You ask why before how, you'd rather delete a step than document it, you treat every deployment as a chance to improve the system that does deployments, and you're comfortable being the person accountable for something working in production. You already use AI tools as a force multiplier in your daily work — this role assumes it.
Nice to have
- Bicep or Terraform in anger; Linux server administration.
- Experience with AI app builders (Lovable, Bolt, v0) — even personal projects.
- Security certifications or OWASP familiarity; AZ-104/AZ-204.
- Experience working directly with clients or stakeholders in a consultancy setting.
Logistics & compensation
- Remote-first. Significant overlap with UK working hours required.
- Competitive compensation based on location and experience. [Adjust per market — e.g. ₹18–28 LPA for India-based candidates; contractor or EOR arrangement available.]
- Direct exposure to the full commercial picture of a productised service — how it's priced, sold, and scaled.
Company: CombineHealth AI
Location: Bangalore, India (Work from Office — 4 days/week)
Experience: 3+ years
Employment Type: Full-time
About Combine Health
Combine Health is building an AI workforce for healthcare revenue cycle management (RCM) — agentic AI systems that automate medical coding, billing, claims, and denial management, and reason through payer policy for healthcare providers in the US. Backed by Y Combinator and Silicon Valley investors, we work with hospitals and health systems to eliminate revenue leakage and reduce manual, error-prone billing work.
We're a small, fast-moving team. Every engineer here owns real product surface area from day one — there's no hiding behind process at a 12-person company.
The Role
We're looking for a Full Stack Engineer to build and ship features across our AI-driven RCM platform — from the interfaces our customers use to review claims and denials, to the backend services that power our AI agents. You'll work closely with founders and a small engineering team, moving fast on a product that directly affects hospital cash flow.
This is not a role where requirements arrive fully specified. You'll be expected to help define what to build, not just how.
What You'll Do
- Design, build, and ship full stack features across the product — from UI to APIs to data models
- Build interfaces for complex, data-heavy workflows (claims review, denial queues, coding dashboards) that need to be fast and legible, not just functional
- Work with backend services that integrate with AI agents, payer systems, and healthcare data sources
- Own features end-to-end: design, implementation, testing, deployment, and iteration based on customer feedback
- Collaborate directly with founders and product on prioritization — this isn't a "tickets handed to you" role
- Write clean, maintainable code and help set engineering practices as the team scales
- Debug and resolve production issues quickly in a live, customer-facing system
What We're Looking For
- 3+ years of professional experience building full stack web applications in production
- Strong hands-on experience with a modern frontend framework (React or similar) and backend framework/language (Python, Node.js or similar)
- Comfort working across the stack: REST/GraphQL APIs, relational databases (Postgres/MySQL), and basic infra/deployment (Docker, cloud platforms like AWS/GCP)
- Ability to take a loosely defined problem and ship a working solution without waiting for a detailed spec
- Solid fundamentals in data modeling, system design, and debugging complex issues in production
- Startup mindset: comfortable with ambiguity, fast iteration, and wearing multiple hats
- Strong communication — you'll be working directly with a small team and need to explain trade-offs clearly
Good to have:
- Experience integrating with AI/LLM APIs or building AI-adjacent product features
- Prior experience at an early-stage startup (seed to Series A)
Why Join Combine Health
- Work on a product with real, measurable impact — faster payments, fewer denials, less manual work for healthcare teams
- Small team, high ownership — your work ships and matters immediately
- Backed by Y Combinator and top investors, early enough that your decisions shape the product
- Direct access to founders and fast decision-making, no layers of bureaucracy
How to apply
- Please click on the link and fill in the details: https://forms.gle/8tX3sXpFZQKotB9e9
To apply, share your resume along with links to relevant projects or GitHub/portfolio.






