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Staff AI Platform Engineer

AlphaSense, San Francisco, California +2

AlphaSense has this job in 1 other place

New York, New York, United States

Posted pay

$203K–$304K

a year

Location: San Francisco, California +2
Work type: Not given
Level: Staff
Experience: 7+ years
Skills in the job text: Kubernetes
Posted: Oct 15, 2025
Last check: 8 h ago
Job type: ML / AI engineering

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AlphaSense

About AlphaSense: funding, hiring and pay

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The role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

The team

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

What you will do

Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What you need

7+ years building and operating distributed systems in production
Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
Experience leading technical initiatives and mentoring engineering teams
Strong coding skills with ability to work across the stack
Excellence in debugging production issues and implementing comprehensive observability
History of making pragmatic trade-offs between perfect and shipped

Nice to have

Experience with LLM applications, agent frameworks, or AI/ML infrastructure
Familiarity with prompt engineering, RAG patterns, vector databases
Background at high-growth companies or modern engineering cultures
Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered equity, and a generous benefits program.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Pay and benefits

$203,000—$304,000 USD

About AlphaSense

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs.

With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

Legal notes

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor.

This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Read the job posting on the AlphaSense site

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Source: the AlphaSense Greenhouse job board. We last checked this job 8 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Company facts

Money raised: $350MSum of funding rounds on record
Newest round: Funding roundJun 3, 2026

Funding records can have errors and can be missing. The company page has the links.

AlphaSense

Open tech jobs: 61
With posted pay: 62%
Median posted base: $182K–$250K

About AlphaSense: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for staff ML and AI engineering jobs in the Bay Area.

Median: $265K a year
Other jobs in the group: 221

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.