ZipRecruiter

Log In

1

Startup Compensation Jobs (NOW HIRING)

Samaya AI

Product Manager - Finance

New York, NY · Hybrid

$140K - $210K/yr

Startup exposure - prior experience at a fast-growing fintech or AI startup Compensation The cash compensation range for this role is $140,000 - $210,000. Final offer amounts are determined by ...

Reindeer, Inc

Account Executive

New York, NY · On-site

$280K - $350K/yr

Prior experience as a first sales hire or early GTM leader at a startup. Compensation The expected salary for this role is $280,000 to $350,000 OTE. This is a good-faith estimate but does not include ...

Chainguard

Compensation Manager

OR · Remote

Demonstrated experience in compensation, total rewards, or a related HR function - ideally at a high-growth tech startup. * Strong analytical skills; comfortable working with large data sets ...

DynaTen Corporation

Startup Manager

Fort Worth, TX · On-site

The role of the Startup Manager is to plan, execute, and finalize startup plans for all ... Compensation for Technician commute time * Stable work with a guaranteed 40 hours per week minimum ...

DynaTen Corporation

Startup Manager

Fort Worth, TX

The role of the Startup Manager is to plan, execute, and finalize startup plans for all ... Compensation for Technician commute time * Stable work with a guaranteed 40 hours per week minimum ...

Upgrade Resources

Startup Manager

Fort Worth, TX · On-site

$114K - $135K/yr

Startup Manager Location: DFW Metroplex, TX (On-site) Employment Type: Full-Time Salary: $114,000 ... Compensation & Perks * Competitive salary based on experience. * Company vehicle or mileage ...

Apply Early

next page

Showing results 1-20

All JobsStartup Compensation Jobs

Startup Compensation information

See salary details

$35.5K

$114.7K

$169.5K

How much do startup compensation jobs pay per year?

As of Jul 4, 2026, the average yearly pay for startup compensation in the United States is $114,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Startup Compensation vs Software Engineer?

AspectStartup CompensationSoftware Engineer
Typical Salary RangeLower to moderate, often with equityHigher, with base salary and bonuses
BenefitsVariable, may include stock options, flexible hoursStandard benefits like health insurance, retirement plans
Work EnvironmentFast-paced, dynamic, often less structuredStructured, project-focused, collaborative
Required CredentialsVaries, often less formal, focus on skillsBachelor’s or higher in CS or related field, technical skills

Startup Compensation typically offers lower base pay but may include equity and flexible benefits, suited for dynamic environments. Software Engineers usually receive higher salaries with standard benefits, reflecting more established roles. Both roles require technical skills, but startup roles may prioritize adaptability and practical experience.

More about Startup Compensation jobs
What cities are hiring for Startup Compensation jobs? Cities with the most Startup Compensation job openings:
What states have the most Startup Compensation jobs? States with the most job openings for Startup Compensation jobs include:
What job categories do people searching Startup Compensation jobs look for? The top searched job categories for Startup Compensation jobs are:
Startup Compensation jobs near you
Infographic showing various Startup Compensation job openings in the United States as of June 2026, with employment types broken down into 13% Full Time, 84% Part Time, and 3% Temporary. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $114,730 per year, or $55.2 per hour.

Product Manager - Finance

Samaya AI

New York, NY • Hybrid

$140K - $210K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Role

As one of Samaya's Finance Product Managers, you'll own the domain strategy that helps investment professionals find actionable insights in vast, noisy datasets. You'll be the bridge between our Product, ML Research, and Engineering teams: defining real-world financial workflows, curating evaluation datasets, and validating AI outputs in live client pilots. Your expertise will directly shape the platform's capabilities in valuation, modeling, and due diligence.

This is a hands-on role for someone who already knows finance deeply and wants to shape how AI does that work, rather than advise on it from a distance. Your financial judgment sets the standard the product is held to, and you should expect to be in the detail day to day, in a fast-moving startup where the playbook is still being written.

Responsibilities

Product & Domain

  • Translate financial workflows - turn investment banking, private equity, buy-side, and sell-side research workflows into product requirements and success metrics
  • Author playbooks - codify best practices for AI-assisted financial analysis
  • Surface insights - bring high-signal findings back to inform roadmap priorities

Evaluation & Pilots

  • Build the evals - design proprietary benchmarks, test suites, and datasets for model evaluation
  • Partner with ML Research - work with researchers to refine models, shape prompt strategies, and validate outputs against expert standards
  • Run client pilots - co-pilot pilots with leading financial institutions, gather feedback, and iterate fast
  • Work in the detail - grade answers and audit agent execution traces; getting models to do expert financial work involves a lot that looks like associate-level work
Experience

Required

  • Institutional Finance Background - 3+ years at a top-tier investment bank, hedge fund, asset manager, or buy-side/sell-side research team (equity research included)
  • Deep finance expertise - strong command of one or more of financial modeling, valuation, capital markets research, and deal execution
  • Translates ambiguity - proven ability to turn ambiguous problems into clear requirements and measurable outcomes
  • Exceptional communicator - clear written and verbal communication with senior stakeholders
  • Genuine AI fluency - you use AI in your work concretely, not just in passing

Preferred

  • Technical fluency - hands-on scripting in Python or SQL for data analysis
  • Both sides of research - exposure to both sell-side and buy-side research models
  • Startup exposure - prior experience at a fast-growing fintech or AI startup
Compensation

The cash compensation range for this role is $140,000 - $210,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

In addition to the base salary, we may consider equity as part of our total compensation package.

Benefits

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

Apply