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Startup Equity Jobs (NOW HIRING)

Component Test Engineer

Lexington, MA · On-site

$65K - $80K/yr

Startup equity options * Generous PTO, medical, dental, and free vision coverage. Must be a U.S. Person due to required access to U.S. export controlled information or facilities. By applying, you ...

Technical Recruiter

New York, NY · On-site

$170K - $250K/yr

Experience with AI native recruiting tools (Juicebox, Metaview, etc.) Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary ...

GTM Recruiter

New York, NY · On-site

$170K - $250K/yr

Experience with AI-native recruiting tools (Juicebox, Metaview, etc.) Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary ...

Expansion Account Manager

New York, NY · Remote

$230K - $250K/yr

Comparing startup equity is always a bit tricky, so we're happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. What we ...

Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $90K-150K + commission ...

Showing results 41-60

Startup Equity information

See salary details

$47K

$100.2K

$143K

How much do startup equity jobs pay per year?

As of Sep 7, 2026, the average yearly pay for startup equity in the United States is $100,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a startup equity?

A Startup Equity job typically refers to a role in which compensation includes ownership in the company, usually in the form of stock options or restricted stock units (RSUs). This is common in early-stage startups that may offer lower salaries in exchange for potential future financial gains if the company succeeds. Equity compensation aligns employees' incentives with the company's growth and success. The specifics of equity grants, including vesting schedules and potential dilution, should be carefully reviewed before accepting such an offer.

What are the main responsibilities of someone managing startup equity within a company?

A professional working with startup equity is typically responsible for overseeing the company’s cap table, managing employee stock option plans (ESOPs), facilitating equity issuances, and ensuring compliance with relevant legal and financial regulations. They often collaborate closely with founders, HR, finance, and legal teams to support fundraising rounds, due diligence, and employee communications regarding equity. The role also involves preparing equity-related documents, tracking vesting schedules, and educating employees about their ownership stakes. Attention to detail and proactive communication are critical for keeping all stakeholders informed and aligned as the company grows.

What are the key skills and qualifications needed to thrive in the startup equity position, and why are they important?

To thrive in a Startup Equity role, a strong understanding of startup finance, equity structures, and cap table management is essential, often backed by experience in investment analysis, business administration, or legal fields. Proficiency with equity management platforms like Carta or Shareworks, as well as familiarity with term sheets and SEC regulations, is commonly required. Excellent communication, negotiation, and analytical thinking are crucial soft skills for working with founders, investors, and cross-functional teams. These skills ensure accurate management of ownership interests, support fundraising events, and keep equity records compliant and transparent.

How much equity do startup employees get?

Startup employees typically receive equity in the form of stock options or restricted stock units (RSUs), with amounts often ranging from 0.1% to 2% of the company, depending on the role, seniority, and stage of the startup. Early employees and founders usually receive larger equity stakes, while later hires may get smaller portions. Equity grants are often subject to vesting schedules, commonly over four years with a one-year cliff.
More about Startup Equity jobs

What cities are hiring for Startup Equity jobs?

Cities with the most Startup Equity job openings:

What are the most commonly searched types of Startup Equity jobs?

The most popular types of Startup Equity jobs are:

What states have the most Startup Equity jobs?

States with the most job openings for Startup Equity jobs include:

Infographic showing various Startup Equity job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,180 per year, or $48.2 per hour.

Senior Software Engineer, Observability

Together AI

San Francisco, CA • On-site, Remote

$200K - $280K/yr

Full-time

Medical

Re-posted 23 hours ago


Key responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry.

  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.

  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.


Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

Responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.
  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.
  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.
  • Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.
  • Define observability best practices.

Requirements

  • Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).
  • Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).
  • Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.
  • Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.

Preferred

  • Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.
  • Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.
  • Contributions to open-source observability projects.
  • Familiarity with security monitoring and compliance frameworks.
Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy