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Full-stack Product Engineer (AI And Data)
Full-stack Product Engineer (AI And Data)
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Full-stack Product Engineer (AI And Data)

Rabya Khan's profile picture
Posted by Rabya Khan
2 - 4 yrs
₹15L - ₹20L / yr
Gurugram
Skills
skill iconReact.js
skill iconNextJs (Next.js)
skill iconNodeJS (Node.js)
skill iconPython
TypeScript
skill iconPostgreSQL
skill iconRedis
Vercel

About Us

SalesMonk.ai is on a mission to revolutionize sales and marketing with cutting-edge AI agents that empower teams to close deals faster and smarter. We are a fast-growing startup, backed by a passionate team of innovators, problem-solvers, and builders.

We are looking for a Full-stack Product Engineer (AI And Data) to join our core engineering team and play a pivotal role in building scalable, high-performing applications and the data pipelines that power them for our next-gen platform.


Why join us

As a small team, we work in a highly collaborative environment and you'll have the opportunity to participate in every part of the business from idea to production.

Impact: Build the foundation and shape engineering practices, team, and company culture.

Excellence: Practice your craft with other ICs and founders in a well-organized, fast-paced environment.

Ownership: Influence the direction of product and strategy -we care about your opinions.

Growth: Work across product, backend, and data -few places let you build all three this early in your career.

We're AI geeks: We use AI not just for our product, but also to code, do reviews, control our browsers, play Spotify…and we're just getting started 🤓


What you'll do (responsibilities)

We're looking for an individual contributor who enjoys working alongside other experienced engineers and designers to quickly build and iterate on the frontend, backend, and data layer.


- Build AI agents that change the game: You'll build the infrastructure for SalesMonk from the ground up, having a huge and direct impact by shipping your work to users on prod daily.

- Use modern web tech and influence the stack: The frontend is `React/Next.js`, the backend `Node`(and a bit of `Python`) , and we use `TypeScript` across the full stack. As we build out our stack, you get to make critical choices and lay the foundations.

- Own data engineering alongside product: A meaningful part of this role is data: building and running ingestion pipelines, ETL/ELT jobs, enrichment workflows across 3rd party data providers, warehouse models, and the data quality checks that keep it all trustworthy. Our AI agents are only as good as the data feeding them.

- Self-direct your work and co-own the product: You'll have autonomy and responsibility. You'll be involved in shaping the roadmap and will own the problems, not just the code.

- Create a robust and scalable backend: Build multi-agent AI systems, `PostgreSQL` database models, performant REST API with `Redis`cache, 3rd party integrations, product analytics, transactional email, and service monitoring. We currently deploy to `Render` and `Vercel` to keep DevOps simple.

- Build UI components: You'll implement UI based on our design system. For a lot of our product, we build UI directly using codegen. Design sense is a must!

- Solve interesting technical problems: Bring your full creativity to solve super-challenging technical problems: from complex backend architecture, non-deterministic LLM behaviours, 3rd party integrations, syncing app state, to real-time collaboration.


What we're looking for (qualifications)

You're an IC with 2-4 years of building real products behind you. We don't require any formal qualifications but value learning new skills- especially from one another. We are looking for someone that feels a sense of duty to the users of their work.


- Startup experience: Working in a startup requires a level of hustle that isn't for everyone. If you've been through this before then you're going to thrive in our energy.

- Highly productive while producing quality code: You enjoy pushing out features in a pragmatic and maintainable way. You know when to use duct tape and when to lay a foundation.

- Data engineering experience is a strong bonus: Prior work with pipelines, ETL/ELT, warehouses (`BigQuery`/`Snowflake`/`Postgres`), orchestration (`Airflow`, `Dagster`, `n8n`), or large-scale scraping and enrichment will put you ahead. If you haven't done it yet but want to, we'll teach you.

- AI wizard: We're leaning hard into optimising our engineering processes with code. You should have a strong understanding of coding best practices, and be keeping up to date with the latest in the field.

- Curious and quick learning: We don't expect you to have experience in every technology we use, but to learn and be productive quickly. Owning several repos and jumping into all of them doesn't scare you.

- Design sensibility: While you'll co-craft the interface with top designers and frontend engineers, we expect you to have a knack for great UX, such that you *feel* if something is off and can flag it, or better yet, polish it.

- Attention to detail while pragmatic: We strive for few slips in code, Git hygiene, and clear written communication - all while remaining low-ego and simply focusing on solutions.


What we offer (compensation & benefits)

We'll treat you well. If there are any other benefits that are important to you, we'd like to hear.

- Competitive salary and equity - multiple options based on your desire for ownership.

- Remote-friendly culture- while the role is primarily in office, you can work remotely if a need arises.

- Premium co-working space - work from a WeWork in the heart of Gurgaon.

- Hardware setup - MacBook Pro if you need it, big display, and accessories.

-Close-knit team - work closely with a team of 12, with real ownership and impact.


Interview Process

  1. Background Deep Dive: A conversation about your experience, projects, and technical strengths.
  2. Live Assessment: A practical assignment to evaluate your problem-solving and coding skills.
  3. Technical Round & Assignment Discussion: A technical deep dive and discussion of your assignment, approach, and decisions.
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About SalesMonk

Founded :
2020
Type :
Product
Size :
0-20
Stage :
Raised funding

About

SalesMonk.ai is on a mission to revolutionize sales and marketing with cutting-edge AI agents that empower teams to close deals faster and smarter. We are a fast-growing startup, backed by a passionate team of innovators, problem-solvers, and builders.

Book pipeline, not seats. SalesMonk pairs a fleet of AI sales agents with a senior GTM team that turns events and outbound into qualified meetings.


Read more

Candid answers by the company

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Gurugram

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