Product Slinger

About Haize Labs

Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains.

Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables agent performance at parity with or better than domain experts.

Our agents are being deployed across many, many verticals. We are hiring a Product Slinger to 1) originate products in new verticals and 2) rapidly scale and refine our products in existing verticals. This role spans engineering (rapidly building AI agents), product (embedding with customers to understand their pain), and customer management (scoping, planning, relationship-building).

In this role, you will:

• Build agents for almost any business you can imagine
• Become a renaissance engineer, i.e. an expert across many domains 
• Spend a LOT of time with the customer
• Rapidly (<24 hours) prototype solutions
• Be the PM: own entire solution delivery from scoping to handoff

You are a great fit if you:

• Are relentless, move insanely fast, and are always questioning the status quo
• Know the startup stack, and realize when tech debt is necessary
• Want to deliver real economic value for real people doing real work in the real world

Ideal candidates likely:

• Have been an FDE
• Previously started their own company
• Shipped popular tools (e.g. OS projects)

Staff+ Software Engineer, Backend and Infra

Haize Labs takes AI-based applications from proof-of-concept to production. We eliminate risk and improve the reliability of LLM-based applications by haizing them – i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for a talented and experienced backend + infrastructure engineer to help build out our AI reliability platform. You will play a foundational role in designing and driving forward the core technology that puts our cutting-edge AI research in the hands of customers, empowering them to build AI applications that are trustworthy, robust, and ready for production.

This is an opportunity to directly influence how AI applications are tested, verified, and deployed by everyone from frontier AI labs to massive enterprises across a wide range of industries.

In this role, you will:

• Design and build scalable infrastructure and systems to orchestrate tens of thousands of LLM calls per second, powering functionality like model evaluations, red team attacks, runtime guardrails, and more
• Collaborate closely with the research team and deploy innovative new models to build industry-leading AI reliability tooling
• Interface directly with customers to understand and address their pain points, design intuitive new user workflows that streamline their journey, and guide them on the evaluation methodology Haize has pioneered
• Act as a technical leader across the organization, mentoring top talent and helping set technical direction and vision for the company
• Develop and uphold processes and best practices that reinforce the operational excellence of our team

You may be a good fit if you:

• Have 7+ years of industry experience, including 3+ years leading large initiatives as an engineer or manager
• Have a proven track record of designing, building, and scaling complex distributed systems that solve critical business problems
• Have strong proficiency in one or more backend programming languages (e.g. Python, Go, Rust)
• Are deeply knowledgeable about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure
• Have a strong understanding of relational and NoSQL databases (we use Postgres, MongoDB, and Redis, among others)
• Take a pragmatic, outcomes-focused approach to solving ambiguous technical and business problems
• Are passionate about building products and platforms that feel magical to use

Strong candidates may also:

• Have experience doing applied AI/ML
• Have strong familiarity with security and privacy best practices
• Have built and/or operated large scale, GPU-based model training and serving infrastructure
• Have experience working on multi-datacenter, cloud-agnostic systems

Logistics

• Education requirement: Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Location policy: 6 days a week, in person, in NYC.
• US visa sponsorship: If you are exceptional, we will sponsor.

Compensation

$200,000 – $300,000 annual salary + equity + benefits

About us

At Haize, we're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers including OpenAI, Anthropic, AI21, and more. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous “robustification” of AI applications. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, and Replit, as well as C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally well-suited to accomplish our mission. We’ve turned down opportunities like Stanford PhD programs and Y Combinator in order to pursue this goal, and we have experience doing AI research and engineering at places like Harvard, MIT, Citadel, Datadog, and McKinsey QuantumBlack (to name a few).

We can only serve our mission with an incredibly talented and hard-working team, and we hope that includes you. Come to Haize to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

1. Data-efficient alignment of evaluation models
2. Dynamic testing of AI applications
3. Observability and anomaly detection 
4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere. 

Annual Salary

$100,000 – $125,000 USD

Responsibilities

• Work directly with customers to adapt our core R&D for different domains.
• Build out core infra, cloud tooling, and UX around our algorithms.
• Ship delightful tools that are used by AI application developers all across the world. 

Qualifications

• High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
• Strong open source presence or strong track record of software engineering projects and employment.
• Experience with ML in an applied setting.
• Can ramp up quickly to understand our research.

Logistics

• Location policy: In NYC.
• US visa sponsorship: If you are exceptional, we will sponsor.
• Compensation and Benefits: We provide generous salary, equity, and benefits

We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

About Haize Labs

Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains.

Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables agent performance at parity with or better than domain experts.

Our agents are being deployed across many, many verticals. We are hiring a Vertical AI Lead to “own the P&L” of our agent deployments in each vertical. This role spans engineering (rapidly building AI agents), product (embedding with customers to understand their pain), GTM (unlocking distribution and winning sales), and customer management (scoping, planning, relationship-building).

About the role

This role is all the fun parts of being a Founder without nearly as much of the pain. You will go 0-1 and scale products repeatedly. Team members who succeed in this role will likely go on to start their own companies. We would consider that a successful hire.

You bring the entrepreneurial spirit. Haize brings the agent foundry, research talent, distribution, experience, compensation, and capital to enable you to sprint faster and swing bigger than you could starting from scratch.

We’re looking for people who are ridiculously high agency and ridiculously high urgency: individuals who start without waiting for instructions. Individuals who think on the fly and unblock themselves. Individuals who evolve with the problem, own the outcome, and deliver.

In this role, you will:

• Build agents for almost any business you can imagine
• Become a renaissance engineer, i.e. an expert across many domains 
• Unlock “apex distributors” in each vertical
• Learn the lingua franca of each vertical
• Originate and execute unconventional GTM strategies
• Spend a LOT of time with the customer
• Rapidly (<24 hours) prototype solutions
• Be the PM: own entire solution delivery from scoping to handoff
• Lead demos and workshops for customers
• Maintain technical customer-facing documentation
• Take learnings back to refine the Haize Reliability Harness
• Collaborate closely with Research, Core Engineering, and GTM team

You are a great fit if you:

• Are relentless, move insanely fast, and are always questioning the status quo
• Think clearly and communicate cogently under pressure and on the fly
• Are charismatic in front of customers
• Know the startup stack, and realize tech debt is necessary
• Want to deliver real economic value with AI

Ideal candidates likely:

• Have been an FDE
• Previously started their own company
• Shipped popular tools (e.g. OS projects)

Logistics

• Education requirement: doesn’t matter. If you are exceptional, you are exceptional.
• Location policy: NYC/SF.
• US visa sponsorship: If you are exceptional, we will sponsor.

Compensation

$150,000 – $250,000 annual salary
And generous equity + benefits