Talent Operations Manager, Rogo
$120-180k
Offers Equity and Bonus
No-code data analytics platform
Be an early applicant
No-code data analytics platform
101-200 employees
Be an early applicant
$120-180k
Offers Equity and Bonus
101-200 employees
Company mission
To unleash the power of data and enable everyone to become a data genius.
Role
Who you are
- 4+ years in talent operations, recruiting operations or a related role, with experience building systems and processes in a fast-growing company
- Hands-on ATS ownership, ideally Ashby, including configuration, reporting and workflow design - not just experience using it as a recruiter
- Strong analytical skills, including experience building forecasts or capacity models from imperfect data
- The ability to turn an ambiguous question into a clear analysis, explain the implications and recommend a practical next step
- Strong operational judgment: you know when a process needs more structure and when it needs to be simpler
- The ability to work across Talent, Finance, People and hiring teams, build alignment and follow through on changes
- Attention to detail, discretion with sensitive information and a genuine interest in making hiring better for candidates and interviewers
- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup
- You are ambitious. You have fun solving problems that others think are impossible
- You are curious. You find joy in learning about AI, technology, and finance
- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
- You are collaborative, organized, thoughtful, and kind
What the job involves
- We’re looking for a Talent Operations Manager to build the infrastructure behind how we hire
- You’ll own the systems, data and workflows that help our Talent team operate effectively and give leaders a clear view of hiring progress, capacity and trade-offs
- This is a hands-on builder role. You’ll move between configuring Ashby, diagnosing a funnel bottleneck, modeling recruiting capacity and rolling out a better process with hiring managers
- You won’t just produce reports or document workflows - you’ll use them to change how we work
- You’ll partner closely with Talent, Finance and People to make hiring more predictable, keep our data trustworthy and deliver a consistently strong candidate experience
- Own our recruiting systems. Manage and improve Ashby, including workflows, integrations, reporting, permissions and data quality. Make our tools easier to use and ensure they reflect how we actually hire
- Build AI and automation into how we hire. Identify high-impact opportunities across sourcing, candidate communications, interview preparation, feedback collection and reporting, then design, test and roll out workflows that reduce manual work and give recruiters more time with candidates. And measure whether they improve speed, quality and candidate experience - not just generate more activity
- Turn hiring data into decisions. Build dashboards and analyses covering funnel conversion, time-to-hire, sourcing effectiveness, offer acceptance and recruiter throughput. Identify what’s slowing us down and recommend what to change
- Build recruiting capacity models. Translate hiring plans into realistic resourcing recommendations, accounting for role complexity, recruiter capacity, backfills and shifting priorities
- Connect hiring plans to the business. Partner with Finance and People to reconcile approved roles, hiring progress and expected start dates, surfacing gaps and trade-offs early
- Improve the hiring process end to end. Build clear, practical workflows for opening roles, running interviews, collecting feedback, approving offers and handing accepted candidates over to People
- Make great execution repeatable. Create useful documentation and training for recruiters and hiring managers, with clear ownership and a way to handle exceptions
Our take
Managing and using financial data can be a complex and frustrating process. Rogo solves this problem by leveraging the power of natural language processing to allow users to manage, combine, analyze and export data from multiple sources without the need for coding.
This allows businesses to unlock immense value from their data without the need for coding expertise and highly trained developer teams. Simply put, users can perform tasks using plain English. As such, Rogo's comprehensive no-code solution is accessible and scalable.
No-code data analysis is a growing industry, and Rogo's main challenge will be competing with the likes of Domo and Obviously. Its chief asset is the experience of its team, which has lent the company considerable weight and insight. It has also raised substantial funding which supports global expansion, the deepening of partnerships with financial institutions, and the scaling of its AI agent.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Apr 2026
$160m
SERIES D
Jan 2026
$75m
SERIES C
Total funding: $315m
Company HQ
Civic Center, New York, NY
Leadership
Gabriel Stengel
(CEO & Founder)Previously worked as a Data Analyst at Engineers Gate and as a Software Engineer at MongoDB. Was an Investment Banker at Lazard.
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