Technical program Manager

Summary

We are looking for an exceptional AI-native full-stack product engineer who can take product specs, prototypes, or PRDs and turn them into clean, tested, QA’d, merge-ready branches.

We are building a fast-moving software company and currently use AI coding tools heavily in our development workflow. Right now, the delivery process is: prototype review, spec clarification, implementation planning, AI-assisted coding, QA, checking what was actually built, and preparing features for final merge.

We want to have this entire workflow managed by the right engineer.

Your job will be to take a feature brief, PRD, prototype, or Loom walkthrough and own the process from:

Input → clarification → implementation plan → AI-assisted build → self-review → QA → PR → merge-ready branch.

We are looking for someone who can take ownership, not create more management work.

What You’ll Do

You will be responsible for:

• Reviewing PRDs, prototypes, tickets, or Loom walkthroughs
• Asking clear, batched clarification questions
• Creating concise implementation plans before coding
• Using AI coding tools to accelerate development
• Reviewing and improving AI-generated code
• Building full-stack product features
• Writing or updating tests where appropriate
• Running QA before handing work over
• Creating clean, reviewable pull requests
• Documenting what was built, what changed, and what risks remain
• Preparing branches that are actually ready to merge
• Communicating clearly and asynchronously

What “Done” Means

A feature is not done when the code is written. A feature is done when:

• The implementation matches the PRD/prototype
• Acceptance criteria are completed
• Code is clean and understandable
• Build/lint/type checks pass
• Relevant tests are added or updated
• Manual QA has been completed
• Screenshots or Loom walkthrough are provided when relevant
• PR description is clear
• Risks, assumptions, and deviations are documented
• The branch is ready for review/merge

Ideal Candidate

You are probably a strong fit if you are:

• An experienced full-stack engineer with strong product judgment
• Experienced with AI coding tools such as Claude Code
• Comfortable taking a vague product idea and turning it into a working feature
• Able to review AI-generated code critically
• Strong with GitHub PR workflows
• Detail-oriented with good QA discipline
• Clear in written communication
• Comfortable working in a fast-moving startup environment
• Able to work independently without needing constant hand-holding
• Good at asking the right questions early

You Are Not a Fit, please do not apply if:

• You blindly trust AI-generated code
• You need every task broken down into tiny instructions
• You say “done” without testing your work
• You create large messy PRs
• You cannot explain your own code
• You are only comfortable with narrow frontend or backend tasks
• You are not comfortable with ambiguity
• You dislike writing implementation plans or QA notes
• You require constant synchronous direction

Required Skills

Please include your experience with:

• Full-stack web development
• Frontend frameworks
• Backend/API development
• Git/GitHub
• Pull request workflow
• Testing and QA
• AI-assisted coding tools
• Debugging and self-review
• Product-focused software development
• Nice to Have
• Startup experience
• Experience as a founding engineer or product engineer
• Strong UX/product taste
• Experience with automated testing
• Experience with CI/CD
• Experience with preview deployments
• Experience turning Figma/prototypes into production features
• Experience working directly with founders

How We Work

We will usually provide one or more of:

• PRD
• Prototype
• Figma
• Loom walkthrough
• Linear/Jira/Notion ticket
• Product brief
• Screenshots
• Existing codebase

You will be expected to return:

• Clarifying questions, if needed
• Implementation plan
• Branch/PR
• QA notes
• Test results
• Screenshots/Loom if relevant
• Clear summary of what was built
• Any risks, tradeoffs, or unresolved questions

Trial Task

We will start with a paid trial task.

The trial will involve a small real feature or product improvement. You will be asked to:

• Review the brief/prototype
• Write a short implementation plan
• Build the feature
• QA it
• Open a clean PR
• Provide a Loom or written walkthrough
• Document assumptions, risks, and anything not completed

We are not just evaluating whether the code works. We are evaluating whether you can own the delivery process end-to-end and how well you leverage AI.

What Success Looks Like

Success means the team can give you a PRD or prototype and receive back a merge-ready branch without needing to manage every step.

Great output looks like:

“I reviewed the feature brief, found two ambiguities, made reasonable assumptions, implemented the core flow, added tests, QA’d happy path and edge cases, documented one tradeoff, and the branch is ready for review. Management's input is only needed on this one product decision.”

Preference will be given to candidates who can work with high ownership and potentially become a long-term product engineering partner.

To Apply, please consider answering the following questions:

• What AI coding tools do you use regularly, and how do you use them?
• Walk us through your process for turning a PRD or prototype into a merge-ready branch.
• How do you QA your own work before asking for review?
• What are the biggest risks of AI-generated code?
• Share an example of a PR, project, or product feature you built that you are proud of.
• What stack are you strongest in?
• Are you comfortable doing a paid trial task?
• What does “merge-ready” mean to you?

A Design Engineer is responsible for developing, designing, and improving products, components, or systems based on technical requirements and customer needs. The role involves creating detailed engineering drawings, 3D models, and specifications using CAD software, while ensuring designs meet quality, safety, and performance standards.

Design Engineers collaborate closely with cross-functional teams including manufacturing, quality, procurement, and project management to ensure designs are practical, cost-effective, and manufacturable. They analyze design feasibility, conduct simulations and testing, and modify designs based on results and feedback.

The role also includes material selection, tolerance analysis, and documentation preparation. Design Engineers support prototype development, troubleshoot design issues, and assist in transitioning designs from concept to production. Continuous improvement, innovation, and compliance with industry standards are key aspects of the role.

Key Skills: CAD tools (AutoCAD, SolidWorks, CATIA), problem-solving, technical documentation, analytical thinking, teamwork.

Qualifications: Bachelor’s degree in Mechanical, Electrical, or related Engineering discipline.

Sales Team Leader – Loan Industry

Location: Andheri

Job Summary:

We are seeking a proactive and performance-oriented Sales Team Leader with strong

experience in the loan and DSA (Direct Selling Agent) ecosystem. This role involves

leading a team of loan sales executives to meet sales targets through DSAs and direct

sourcing. The ideal candidate must have hands-on experience in the loans industry, a

strong understanding of credit and documentation, and the ability to drive high-

performing sales strategies. The Sales Team Leader will also be responsible for

coaching the team, maintaining compliance, and achieving monthly business goals.

Key Responsibilities:

A. Team Leadership & Target Achievement

• Lead and supervise a team of sales executives across loan products (Personal,

Business, Home Loans, etc.).

• Set and monitor individual and team sales targets.
• Motivate and guide the team toward consistent achievement of targets and

productivity.

B. Channel & DSA Management• Source business through DSA channels, referrals

• Build and maintain strong relationships with DSAs and other sales partners.
• Ensure proper onboarding and training of new DSAs and agents.

C. Sales Execution & Customer Management

• Guide the team through the sales process – from lead generation to file login and

disbursal.

• Resolve escalations and ensure smooth customer experience throughout the

loan lifecycle.

• Support in documentation and KYC collection processes.

D. Reporting & Coordination

• Monitor and review daily sales activities, pipeline status, and lead conversions.
• Prepare MIS reports and daily dashboards for internal tracking and review.
• Coordinate with internal teams (Operations, Credit, and Disbursement) for

smooth process flow.

Required Skills & Qualifications:

• Experience: Minimum 2–4 years in loan sales with strong exposure to DSA

models

• Proven experience in products like Personal Loans, Business Loans, or Home Loans
• Strong communication, leadership, and field sales skills
• Basic understanding of credit processes and financial documentation
• Comfortable with achieving aggressive monthly sales targets

We're Hiring: Machine Learning & Data Science Engineer

Location: Gurugram / Bengaluru (Full-time, In-Office)

Salary: Up to ₹2.5 Cr

Preferred Qualifications: PhDs, Tier-1 Grads (IITs, IISc, top global universities)

Join a stealth, VC-backed startup operating across the US, India, and EU, shaping the future of AI-driven Observability utilizing LLMs, Generative AI, and cutting-edge ML technologies. Collaborate with visionary founders experienced in scaling billion-dollar products.

🔍 What You’ll Do:

- Develop advanced time series models for anomaly detection & forecasting

- Create LLM-powered Root Cause Analysis systems employing causal inference & ML techniques

- Innovate using LLMs for enhanced time series comprehension

- Build real-time ML pipelines & scalable MLOps workflows

- Utilize Bayesian methods, causality, counterfactuals, and agent evaluation frameworks

- Handle extensive datasets in Python (TensorFlow, PyTorch, Scikit-Learn, Statsmodels, etc.)

✅ What We’re Looking For:

- Minimum 5 years of experience in ML, time series, and causal analytics

- Proficiency in Python & the ML ecosystem

- In-depth understanding of causal inference, Bayesian statistics, LLMs

- Background in ML Ops, scalable systems, and production deployment

- Additional expertise in Observability, AI agents, or LLM Ops is a plus

💡 Why Join:

- Contribute to building a groundbreaking product from inception

- Tackle real-world impactful challenges alongside a top-tier team

- Engage in a culture that prioritizes ownership, agility, and creativity

Apply here: https://whitetable.ai/form/machine-learning-data-science-engineer-dc784b

Work Responsibilities 

- Lead, plan & execute new initiatives & projects 

- Work closely with the founders in scaling up the organization 

- Shaping the company's overall business strategy. Developing strategic plans and assessing company performance 

- Responsible for assisting the Founders with developing, communicating, executing, and sustaining corporate strategic initiatives 

- Building the new categories at the company and expanding the existing ones
- Conducting research and data analysis to inform business decisions 

- Responsible for supporting all special projects needs of the Founders, acting as liaison with key stakeholders, analysis of market trends and internal performance, the analysis of data in collaboration with experienced data analysts, and the production of written reports and oral 

What are we looking for? 

- Minimum 2 years experience in a Startup (B2B, SAAS, VC companies are preferred)
- Bachelor's degree for a Tier 1 institute (preferably IITs, BITS) 

- Structured thought-process 

- Experience in managing multiple priorities, administrative coordination, and logistics
- High Execution bias 

- Creative problem-solving skills

- Well organized, detail-oriented, ability to multitask with great follow-up skills
- Impeccable communication skills

Job Prerequisites 

- High-speed internet connection 

- Laptop with integrated camera & a pair of headphones 

- Quiet workspace

What’s in it for you? 

- Great Pay 

- Be part of a 100x growth story - The company has grown 10x in the last 18 months - High growth potential & impact - an early stage in Wishup’s journey 

- Work from home (or anywhere), forever!

Role - .NET  Developer

Experience - 2+ Years

Location - Ahmedabad
Skills required-.Net core, very proficient in SQL

• Bachelor's degree in Computer Science or a related field
• Minimum 2+ years of experience in software development using the .NET framework (Max upto 5 years)
• Strong understanding of C#, ASP.NET, and the .NET Core
• Experience with web development technologies such as HTML, CSS, and JavaScript
• Experience with database technologies such as SQL Server
• Strong problem-solving and analytical skills
• Excellent verbal and written communication skills
• Proven ability to work independently and in a team environment
• Keywords: .NET, C#, ASP.NET, .NET Core, software development, web development, HTML, CSS, JavaScript, SQL Server, problem-solving, analytical, communication, team player