AI Jobs

Education Requirements:

• Same requirements as full-time positions

Experience Requirements:

• Same requirements as full-time positions

Other Requirements:

• Include interest in intern position in application

• Curious and fearless mindset

• Ability to learn Rust fast

Responsibilities:

• Same responsibilities as full-time engineering positions

Benefits:

• 0.15% - 0.75% equity

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• Any experience level

Other Requirements:

• US citizen/visa only

• Ability to learn Rust fast

• Must be curious and fearless

• Able to solve graph and tree problems

Responsibilities:

• Solve hard problems like suspend/resume AI workflows

• Design and implement tooling for developer experience

• Scale LLM observability platform to handle billions of logs

• Answer community questions regarding BAML usage

• Explore unique syntaxes and graph visualizations from code

Benefits:

• Hybrid role

• Tailored resume builder tool

• Equity participation

Education Requirements:

• Certification in Medical Billing/Coding (e.g., CPC, CPB, or CMRS) (nice to have)

Experience Requirements:

• 6+ years of experience in healthcare revenue cycle management

• Deep understanding of billing workflows, payment posting, medical coding, and denials

Other Requirements:

• Familiarity with electronic health record (EHR) systems

• Strong analytical and process improvement skills

• Comfortable working in a fast-paced, startup-style environment

Responsibilities:

• Own and optimize end-to-end revenue cycle processes

• Serve as the internal RCM expert for Sales, Implementation, and Product teams

• Review and analyze billing data to identify automation opportunities

• Document workflows and edge cases to inform product roadmap

• Stay up-to-date on payer regulations and healthcare billing trends

Benefits:

• Equity

• Sign-on payments

• Medical benefits

• Financial benefits

Experience Requirements:

• 7+ years of technical product or program management experience

• 10+ years of working directly with engineering teams experience

• 5+ years of software development experience

• 8+ years managing complex technology projects

Other Requirements:

• Experience building conversational commerce solutions with LLMs

• Strong bias for action

• Ability to handle multiple priorities simultaneously

Responsibilities:

• Drive design for owned programs

• Interface between product and development teams

• Define requirements and negotiate priorities

• Resolve significantly complex technical and business problems

• Mentoring others and educating on best practices

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field

• Master’s degree in Engineering, Data Science, or a related field (Nice to have)

• MBA (Nice to have)

Experience Requirements:

• 8+ years in a technical product management role

• Experience introducing radical new products (0 to 1)

• Deep understanding of data preparation and management for AI

• Experience working directly with public cloud services (AWS, GCP, Azure)

• Knowledge of the AI/ML landscape for on-premises and cloud infrastructure

Other Requirements:

• Experience with isolated, air-gapped, or network-restricted environments (Nice to have)

• Understanding of development, deployment and governance solutions for Agentic AI

Responsibilities:

• Lead technical discussions and be a thought leader during product reviews

• Define product strategy, detailed requirements, and collaborate with engineering

• Develop and manage end-to-end product plans

• Work closely with customers to ensure successful product adoption

• Provide hands-on leadership during analysis, design, and implementation

Benefits:

• Medical, dental, vision, life, and disability insurance

• 401k plan

• $125/month commuting or internet stipend

• $200/month fitness and wellbeing stipend

• Paid vacation, sick leave, and holidays

Education Requirements:

• BS or MSc in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field

Experience Requirements:

• 4+ years of industry experience building ML infrastructure

• Deep experience in the complete model development cycle

• Knowledge of modern deep learning and natural language processing techniques

• Strong software engineering skills

• Experience with Python and PyTorch/Jax/Tensorflow

Other Requirements:

• Familiarity with cloud compute resources (e.g. AWS) and containerization (e.g. Docker)

• Strong collaboration and communication skills

• Must be able to remain in a stationary position for long periods of time

• Ability to observe details at close range

• Can work under deadlines

Responsibilities:

• Building infrastructure to facilitate the next generation of LLM research

• Optimizing training and inference for language models

• Triaging between experiments and executing on the most impactful

• Supporting and collaborating with an open-source community

• Bridging the gap between cutting-edge research and a widely adopted product

Benefits:

• Commissions

• Stock options

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 4+ years of work experience selling cloud-based software products

Other Requirements:

• Proven ability to work long workweeks when needed

• Deep interest in machine learning and AI

• Highly self-motivated

• Excellent written and verbal communication skills

• Highly organized and detail-oriented

Responsibilities:

• Partner with Business Development Team to research, identify, and generate new business opportunities

• Thoroughly analyze target markets for key use verticals

• Host events to nurture existing client relations

• Work closely with Hive’s senior leadership team to build and maintain alignment

• Manage complex sales process end-to-end

Benefits:

• Annual Vibe & Thrive allowance

• Flexible leave options

Education Requirements:

• Legally qualified (AUS/NZ, UK, EU or US bar admission)

Experience Requirements:

• 5-7 years practicing law with some in-house experience

• Experience in export controls (EAR) and sanctions (OFAC)

• Experience developing compliance policies and training

• Ability to conduct risk assessments and audits

• Prior experience working with AI

Other Requirements:

• ECoP or CGTLP certifications are a plus

Responsibilities:

• Support global business advice on export controls/sanctions

• Monitor the regulatory landscape for changes

• Implement and report on compliance programs

• Advise on escalations from vendor due diligence

• Conduct due diligence on corporate transactions

Benefits:

• Equity

• Health, dental, and vision insurance

• 401(k)

• Unlimited PTO

• Free lunches/snacks at the office

Experience Requirements:

• 5+ years in Customer Success or Account Management (SaaS)

• 2+ years managing CSMs

• Proven experience owning renewals, retention, and expansion

• Track record of making hard calls (hiring, performance, prioritization)

• Experience scaling CS teams in high-growth SaaS or AI companies

Other Requirements:

• Seattle-based candidates who will be in the office at least 3 days per week

• Low ego, high ownership

• Highly organized, detail-oriented, and systems-minded

Responsibilities:

• Build, grow, and retain an exceptional team of CSMs

• Coach CSMs weekly with specific, account-level feedback

• Serve as the escalation owner for highest tier customer issues

• Define and run the CS operating cadence

• Build systems that scale customer outcomes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment