AI-Native Talent Systems & Product Builder

Revenue Optics | India | Remote

Full-Time | Immediate Joiners Preferred

Revenue Optics is looking for a hands-on Talent Systems & Product Builder to help us redesign and automate how our recruiting operation works. We already have the tools, recruiters and live searches. What we need is someone who can connect the pieces, remove manual work and build a recruiting operation that runs from a system instead of spreadsheets, emails and memory.

This is a hands-on builder role, not a management or strategy position. You will work directly with our U.S. leadership and recruiting teams and start building from your first week.

Your job is to help us move the function from Today:

Job requirements are captured across calls, notes and emails.

Recruiters work between Manatal, LinkedIn Recruiter, Fireflies, email and calendars.

Candidate pre-screens happen on Fireflies, but someone still has to manually pull out the important information.

Candidate profiles are assembled manually.

Compensation, geography, experience and client conflicts are checked manually.

Candidate submissions are sent manually.

Client decisions come back through email.

Candidate move-forward communication is handled manually.

Interview scheduling is coordinated manually.

ATS stages are updated manually.

Leadership still has to ask questions to understand what is live, what is stalled and what needs attention.

Every new search can still feel too much like starting from scratch.

Where We Want to Go

Every search starts with a structured job card and candidate scorecard.

Manatal becomes the true operating system for live roles, ownership, candidate stage, next action and next date.

LinkedIn Recruiter becomes a connected sourcing engine instead of a separate workflow.

Fireflies pre-screens automatically become structured candidate data.

Candidate information is evaluated against the job requirements using a consistent scorecard.

Candidate profiles are generated automatically from the resume, ATS data, pre-screen and job requirements, then reviewed by a human before anything reaches the client.

The system automatically flags or blocks issues such as:

• Wrong geography
• Compensation mismatch
• Missing qualifications
• Missing pre-screen
• Duplicate or conflicting submissions
• Missing candidate information
• Stale stages
• Missing next actions

Clients receive a cleaner digital candidate experience and can select:

Advance

Hold

Decline

That decision triggers the correct next workflow automatically.

Candidate communication becomes systematic rather than dependent on someone remembering to send an email.

Interview scheduling becomes a structured workflow instead of a long email chain.

ATS updates happen automatically wherever practical.

Leadership manages from an exception board instead of asking for status.

Every search adds to a reusable talent map so the next search starts with what we already know.

About the Company

Revenue Optics is a commercial growth company serving B2B distributors, industrial companies and private-equity-backed businesses. Our work spans sales transformation, talent, pricing, technology and automation. We are increasingly turning the systems we build internally and for clients into scalable technology. This role will have the opportunity to help build that foundation.

Responsibilities

• Help build a connected Talent Operating System covering the recruiting lifecycle from requisition through hire.
• Improve our existing systems, automate workflows and build lightweight applications where our existing technology cannot solve the problem.
• Make Manatal the operating source of truth for open positions, candidate stages, search ownership, next actions, interview status, candidate history, search deadlines, and exceptions.
• Connect our sourcing activity with the ATS and help improve LinkedIn Recruiter workflows, saved searches, candidate tracking, outreach tracking, candidate database searches, ATS writeback, and talent mapping.
• Build a workflow that converts pre-screen information into structured candidate data.
• Help automate the creation of client-ready candidate profiles by combining information from various sources.
• Build practical controls that identify problems before candidates reach clients.
• Build a better workflow for client candidate management.
• Help reduce the manual coordination required between candidates and clients for interview scheduling.
• Build a simple exception-based dashboard showing what actually needs attention.

Required Skills

• Experience in business systems.
• Comfortable sitting with recruiters and understanding their work.
• Ability to identify unnecessary manual steps and build better solutions.
• Strong candidates may come from backgrounds such as Business Systems Engineering, Recruiting Operations, Talent Technology, Product Engineering, Workflow Automation, Solutions Engineering, Full-Stack Development, or Internal Tools Development.

Preferred Skills

• ATS configuration or implementation.
• Recruiting or staffing workflows.
• Experience with Manatal, Greenhouse, Lever, Bullhorn, Ashby or similar ATS platforms.
• LinkedIn Recruiter.
• APIs and webhooks.
• Experience with automation platforms like n8n, Make, Zapier or similar.
• Internal tools and business applications.
• Programming skills in Python, JavaScript or TypeScript.
• Database knowledge in SQL / PostgreSQL.
• Experience with Supabase, React / Next.js, SaaS integrations, workflow design, and dashboard development.
• Familiarity with modern development tools such as Claude Code, Cursor, Replit, Base44 or similar.
• AI experience is useful, but this is not an AI research or prompt-engineering role.

If you are someone who sees a manual process and immediately starts thinking about how to make it simpler, faster and systematic, we want to talk to you.