Business Operations Generalist

Reinforced Learning; Town of Tonawanda (NY); Sur place; USD 90 000 - 150 000; Plein temps

Résumé du poste

Reinforced Learning is seeking a Business Operations Generalist to work directly with the CEO and Operations team in San Francisco. You will tackle diverse projects, create scalable processes, and act as a utility player across qualitative research, quantitative modeling, and hands-on execution.

You will build an operating backbone, including billing and revenue operations, new business development support, and cross-functional coordination as the company scales.

Qualifications

• 1-4 years of experience in analytical strategy or operations roles at top-tier firms or startups.
• Ability to build from the ground up and create processes where none exist.
• Comfort mixing qualitative research, quantitative modeling, and hands-on execution.
• High initiative: identify gaps, propose solutions, and execute without waiting for direction.
• Strong analytical instincts: combine data with qualitative judgment to inform recommendations.

Responsabilités

• Own special projects from kickoff to delivery, driving decisions and cross-functional initiatives.
• Build and scale operational capabilities such as billing/revenue operations and BD support.
• Gather and analyze data to develop actionable recommendations.
• Support business development activities including research and materials for leadership.
• Assist with recruiting end-to-end to keep hiring moving quickly.

Connaissances

Analytical mindset

Financial modeling

Operational design

Project management

Cross-functional collaboration

Description du poste

Business Operations Generalist

Reinforced Learning is hiring a Business Operations Generalist to work directly with the CEO and the internal Operations team as we scale. You will be a key part of the operational backbone of the company - tackling special projects across the business as they arise and building capabilities that don't yet have a home.

You are a utility player: sharp, resourceful, and equally comfortable doing qualitative research, quantitative modeling, and hands-on execution. No task is out of scope. Your job is not to flag problems - it's to diagnose them, build the analysis, and deliver a recommendation that moves the business. Other times, it's to tackle issues before they become problems.

You won't inherit a playbook. You will build one from the ground up, then hand it off and move to the next thing. This is an in-person role in San Francisco, moving at the speed of the company.

Responsibilities

• Take ownership of founder- and leadership- assigned special projects from kickoff through delivery, driving decision-making, owning cross-functional initiatives, building operating cadences, and monitoring core business metrics.
• Build new operational capabilities from scratch: billing and revenue operations infrastructure, business development support, and other functions we stand up as we scale.
• Gather qualitative and quantitative data, synthesize what you find, and develop actionable recommendations.
• Assist with business development activities including research, outreach support, deal tracking, and preparing materials for founder-led conversations.
• Support recruiting end-to-end (sourcing, top-of-funnel outreach, interview coordination, work trials, candidate relationships, and external recruiter management) so hiring moves quickly and without gaps.
• Support the company's administrative infrastructure: financials (payroll, expense tracking, vendor payments, invoicing), real estate and lease management, office setup, and any other operational foundations that keep the business running smoothly.
• Identify operational inefficiencies, model the tradeoffs, and propose prioritized solutions with clear implementation plans.
• Serve as connective tissue across the organization by communicating clearly, following through, and closing the loop.
• Build for durability, not just delivery. Stand something up, pressure-test it, document it, and hand it off cleanly so that it keeps working after you've moved on to the next problem.

Required Qualifications

• 1-4 years of experience at a top investment bank, consulting firm, private equity firm, or in a highly analytical strategy or operations role.
• Demonstrated ability to build from the ground up. You've operated in environments where the process didn't exist, and you created it.
• A genuine utility player: equally comfortable building a financial model, drafting a customer email, and mapping an operational workflow - and you don't think any of it is beneath you.
• High agency, low ego. You don't wait to be told what to do - you identify the gap, propose the solution, and execute. If something is broken, you fix it without being asked.
• Strong analytical instincts: you default to quantitative analysis and pair it with qualitative judgment. You turn ambiguous problems into specific, data-backed recommendations.

Preferred Qualifications

• Prior experience at an early-stage startup, especially in an operator or Chief of Staff-adjacent capacity.
• Technical fluency: ability to engage credibly with engineering and research teams.
• Exposure to AI, data, or tech-adjacent industries, either from prior work or genuine intellectual interest in the space.
• Experience standing up customer-facing programs, billing systems, or revenue operations from zero.
• Experience across multiple functions: operations, strategy, finance, go-to-market, product, or recruiting.