AI Jobs

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Degree in Computer Science, Engineering, Math, or equivalent experience.

Experience Requirements:

• 4+ years in consulting, engagement management, product, or as a founder—trusted by senior stakeholders.

• Ability to go beyond surface-level requests and solve the real business problem.

• Comfortable diving into architectural trade-offs, APIs, and agentic design with engineers.

• Natural ability to see the whole picture, anticipate downstream effects, and design resilient solutions.

• Experience in user research and workflow mapping, with a data-driven mindset.

Other Requirements:

• Entrepreneurial mindset

• Self-starter who thrives in ambiguity

Responsibilities:

• Understand Human Workflows: Partner with enterprise customers to map processes

• Design AI Employees: Translate workflows into agentic multi-agent systems

• Bridge Business and Technology: Turn client requirements into scalable capabilities

• Drive Strategic Roadmaps: Own the lifecycle of AI employees

• Champion Adoption & Value: Ensure customers achieve measurable ROI

Education Requirements:

• Degree in Computer Science, Electrical Engineering, or a related technical or scientific field with a focus on Machine Learning preferred.

Experience Requirements:

• 10+ years in semiconductors, edge AI, or embedded hardware solutions account management

• Demonstrated success closing deals with Tier-1 OEM and ODM customers

• Deep understanding of design-in, qualification, and production cycles

• Existing relationships within semiconductor, embedded, and industrial AI ecosystems

Other Requirements:

• Strong commercial instincts with a builder mentality

• Technically fluent and credible with engineering teams

• Skilled in negotiating complex, multi-year commercial agreements

• Able to operate independently in a fast-moving startup environment

• International OEM / ODM experience

Responsibilities:

• Own strategic account relationships from first engagement through production

• Drive commercial adoption of Blumind’s edge AI products and IP

• Develop account-level strategies aligned with our product development cycles and roadmap

• Build partnerships with semiconductor vendors, module suppliers, OEMs and platform providers

• Work directly with customer engineering teams to support evaluations, pilots, and design-ins

Benefits:

• Annual learning budget

• Fitness and well-being budget

• Unlimited vacation days

• Health Care Plan

• Family Leave

Experience Requirements:

• 6+ years experience

• Deep experience with SDK languages

• Building and consuming REST APIs

• Familiarity with Git/GitHub

Other Requirements:

• US citizenship/visa not required

• Objective-C/Swift

• Java/Kotlin

• C# Unity

• TypeScript/Dart

Responsibilities:

• Maintain iOS/Android/Unity SDKs

• Build ad network integrations

• Manage release processes

• Publish SDK documentation

• Assist customers with integration

Benefits:

• Competitive salary

• Meaningful equity

• Early-stage ownership

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• Strong full-stack experience

• Shipping production software

• Comfort working close to the OS

Other Requirements:

• US citizen/visa only

• Next.js skills

• Node.js skills

• Machine Learning knowledge

Responsibilities:

• Build core product surfaces

• Ship high-signal UIs

• Build backend services

• Develop native desktop apps

• Manage performance and reliability

Other Requirements:

• Commuting to the New York or San Francisco office three days per week

• Authorized to work in the U.S.

Benefits:

• Equity included

Experience Requirements:

• Experience is optional and not necessarily required

Other Requirements:

• Deep understanding of the e-commerce ecosystem

• AI-first operator

• Exceptional storytelling skills

• Data-driven mindset

Responsibilities:

• Own and execute LTV.ai's content strategy across social channels

• Ideate, produce, and publish high-velocity content

• Plan and execute breakthrough marketing campaigns

• Leverage AI tools to 10x output

• Collaborate closely with sales, product, and leadership

Benefits:

• Equity included

Education Requirements:

• Recent graduate

Experience Requirements:

• 0-2 years of experience

Other Requirements:

• Founder DNA

• Relentlessly resourceful

• AI-first mindset

• Strong communicator

• Willing to be in-person

Responsibilities:

• Own prospect follow-up and deal management

• Re-engage old prospects with creative outreach

• Support active sales cycles by preparing materials

• Hunt for new leads and identify decision-makers

• Run scrappy growth experiments

Benefits:

• Equity included

Experience Requirements:

• 3-5+ years of experience in Business Development, Partnerships, or Strategic Sales

Other Requirements:

• Proven track record of building BD or channel programs from zero

• AI-first operator

• Highly autonomous

• Analytical mindset

• Entrepreneurial DNA

Responsibilities:

• Own new logo acquisition strategy and execution

• Build channel partnerships from scratch

• Develop and iterate on BD playbooks and infrastructure

• Collaborate closely with founder on company priorities

• Work cross-functionally with Sales and Customer Success

Benefits:

• Competitive salary

• Early-stage equity package

• High-trust, execution-first culture with minimal bureaucracy

• Direct ownership of meaningful projects

• Opportunity to sit at the interface between deep research and real-world productization

Experience Requirements:

• 5+ years of hands-on software engineering experience

• Proven ability to execute on incomplete specs and drive projects to completion

• Strong experience writing production-quality code (Python & Rust strongly preferred)

• Track record of rapid prototyping in the LLM/agent space

• Experience orchestrating and evaluating complex multi-agent systems

Other Requirements:

• Legally authorized to work in the United States

• Deep understanding of LLM architecture and inference-time optimisation

• Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)

• Comfortable in fast-moving, ambiguous environments

• Bias for ownership

Responsibilities:

• Translate research prototypes and high-level concepts into production-quality software

• Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion

• Build systems that are correct, reliable, maintainable, and performant

• Work closely with ML researchers and engineers to integrate research outputs into functional systems

• Own critical engineering tasks like data pipelines, API integrations, testing, and error handling

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional development opportunities

• A dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

Other Requirements:

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

• Excellent attention to detail

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports

• Collaborate with Sales, Engineering, and Operations teams

Benefits:

• Health coverage

• Equity awards

• Flexible time off

• Fun and challenging work environment

• Technical mentorship and growth

Education Requirements:

• PhD in Computer Science, AI, Linguistics, Applied Physics or related fields

Experience Requirements:

• Extensive experience with large language models

• Proficiency in PyTorch

• Proficiency in Python

Other Requirements:

• Analytical and Problem-Solving Skills

• Communication and Collaboration Skills

• Innovation and Continuous Learning

Responsibilities:

• Design and maintain various components of the Beehive AI algorithms and LLMs

• Work independently on the full cycle of development

• Research and experiment with generative AI solutions

• Implement and productionalize AI components

Benefits:

• Medical insurance

Benefits:

• Competitive salary with meaningful equity

• Free health, dental, and vision insurance

• Free in-office lunch and dinners

• Unlimited PTO

Experience Requirements:

• 3+ years

• Senior/Staff level experience building and scaling infrastructure

• Experience with data warehousing and pipelines

Other Requirements:

• US citizen/visa only

• Passionate about building infra that’s simple, predictable, and elegant

Responsibilities:

• Design and scale the backend systems powering millions of patient interactions

• Build the event-driven architecture for voice, scheduling, and data ingestion

• Optimize performance, cost, and observability across services

• Own reliability, latency, and uptime across the stack

Benefits:

• Competitive salary with meaningful equity

• Free health, dental, and vision insurance

• Free in-office lunch and dinners

• Unlimited PTO

Experience Requirements:

• 3+ years

• Senior/Staff level experience building and scaling full-stack web applications

• Fluency and experience in our tech stack: Python/Typescript, Kubernetes on AWS

Other Requirements:

• US citizen/visa only

• Strong product mindset, obsessively detail oriented

• Impeccable product taste

Responsibilities:

• Work directly with customers to design and build AI agents and workflows

• Bring up products from 0-1 and own them end-to-end

• Shape the core architecture of our products and platform

Benefits:

• Competitive salary with meaningful equity

• Travel/lodging is 100% covered

• Free health, dental, and vision insurance

• Free in-office lunch and dinners

• Unlimited PTO

Experience Requirements:

• 3+ years

Other Requirements:

• US citizen/visa only

• Willing to travel for on-site deployments (1–2 weeks every month)

• A systems thinker with strong communication and empathy for operators

• Comfortable writing code, analyzing data, and owning enterprise outcomes

Responsibilities:

• Lead discovery with operations and revenue cycle teams

• Design, prototype, and deploy AI agents and automation workflows

• Write production code to integrate into enterprise systems

• Own outcomes: ship automation that saves millions in cost and/or hours

Benefits:

• Competitive salary and meaningful equity

• Comprehensive medical, dental, and vision

• Flexible paid time off policy

• Paid Parental Leave Program

• 401k plan & match

Experience Requirements:

• Minimum of 7 years of experience in a technical pre-sales role

• Experience managing C-Level relationships

• Strong technical acumen

• Experience working with product and engineering teams

• Familiarity with managing POCs and RFPs

Other Requirements:

• Willing and able to travel occasionally

• Excellent communication and interpersonal skills

• Problem-solving skills

Responsibilities:

• Lead technical discovery

• Deliver exceptional pre-sales experience

• Design and lead tailored Proof of Concepts

• Primary resource for RFPs and security questions

• Collaborate cross-functionally with Product

Education Requirements:

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

Experience Requirements:

• Demonstrated experience developing models at production scale for hockey or sports betting for 2+ years

• Expertise in Probability Theory, Machine Learning, and Inferential Statistics

• 5+ years experience delivering effective machine learning/statistical models in sports or betting

• Experience with relational SQL & Python

• Experience with source control tools such as GitHub

Other Requirements:

• Excellent communication skills

• Proven track record of strong leadership skills

• Experience working in AWS environments

Responsibilities:

• Ideate and develop machine learning and statistical models

• Develop contextualized feature sets using sports domain knowledge

• Partner with data engineering and product teams to deploy models

• Improve model performance using offline and online experimentation

• Document modeling work and present to stakeholders

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Competitive Salaries

• Company Stock Options

• Health, Vision & Dental Coverage

• Learning & Development

• Flexible Work Hours

Benefits:

• Transparent, fast, and thoughtful process

• Entrepreneurial role

• Shape sales motion

Experience Requirements:

• Exceeded $750K+ annual quotas in B2B SaaS

• Closed multiple $10K–$20K+ ARR deals

• Experience with short sales cycles (30 days or less)

Other Requirements:

• Outbound prospecting

• Clear communicator

• Operational excellence

• Product-savvy

Responsibilities:

• Identify pain and business impacts

• Source pipeline through outbound prospecting

• Qualify inbound interest

• Run product demos and deal orchestration

• Work with marketing and product to refine messaging