Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Free gym benefit

• Free lunches and fancy espresso machine in the office

• Company events including happy hours, sauna/cold plunge wellness retreats, Barrys bootcamp, and snow trips

Experience Requirements:

• 3+ years

Responsibilities:

• Architect and build cutting-edge AI data extraction systems

• Work directly with customers to tackle their toughest data challenges often with creative solutions

• Push the boundaries of AI tech and stay on the cutting edge of LLM developments.

• Own projects end-to-end from working with founders or customers on the product proposal, architecting, building, evaluating and testing, shipping to prod, and integrating with customers

Responsibilities:

• Build personalization engines

• Build generative models

• Build dashboards

• Build forecasting models

• Build chatbots

Benefits:

• 0.2% - 1.2%

Experience Requirements:

• 6+ years

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control

Benefits:

• 0.1% - 1.2%

Experience Requirements:

• 6+ years

Benefits:

• 0.1% - 1.5%

Experience Requirements:

• 3+ years

Benefits:

• Tight-knit, in-person team of PhD battery scientists and software engineers

• HQ in downtown San Francisco

• Work remotely from anywhere for up to four weeks per year

Experience Requirements:

• Want to push themselves to achieve extraordinary things

• Care strongly about helping our customers to succeed

• Feel a deep sense of pride over their craft

Benefits:

• Tight-knit, in-person team of PhD battery scientists and software engineers

• HQ in downtown San Francisco

• Work remotely from anywhere for up to four weeks per year

Experience Requirements:

• Want to push themselves to achieve extraordinary things

• Care strongly about helping our customers to succeed

• Feel a deep sense of pride over their craft

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc.

• Strong data structures, algorithms, and OO software design and implementation skills

• Ability to learn and operate across full stack

• Experience as a creative and strategic thinker

• A “get stuff done” attitude

• A track record of successfully influencing product direction

• Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers

• Authorized to work in the US

Responsibilities:

• Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI

• Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend

• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers

• Being a key member of the team solving its most complex problems with the simple, pragmatic solutions

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• Experience building compilers or static code analysis tooling

• Strong software engineering experience and a firm grasp of CS fundamentals, data structures, and algorithms

• Experience building distributed/scalable backend infrastructure with a micro-services first design

• A high standard for production system quality

• Ability to demonstrate and incrementally build 100% confidence in all the layers/components you develop

Other Requirements:

• A deep sense of appreciation for the test-driven development methodology

• A self-directed environment with full ownership to design features end-to-end from scratch and the accountability that comes along

• Authorized to work in the US

Responsibilities:

• Designing and implementing a high-performance static code analysis service

• Working with Data Scientists/ML engineers to improve precision, robustness, and scalability of traditional static analysis algorithms using ML techniques

• Experimenting, prototyping, measuring, and making data-driven technology stack decisions

• Architecting and implementing microservices-based systems for distributed computing environments

• Leveraging strong CS fundamentals, data structures, and algorithms to solve complex engineering challenges

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 5+ years of experience in HR, with a strong focus on HRBP roles

• Proven track record of success in implementing HR strategies and initiatives that drive business results

• Strong understanding of employment laws and regulations

Other Requirements:

• Ability to build strong relationships with people at all levels of the organization

• Strong analytical skills and the ability to use data to inform decision-making

• Experience with HRIS systems (e.g., Namely)

Responsibilities:

• Collaborate with business leaders to understand their strategic goals and develop HR strategies to support them

• Provide strategic HR consulting on a wide range of people-related issues, including performance management, compensation and benefits, employee relations, and organizational development

• Drive initiatives to enhance employee experience, including onboarding, offboarding, employee engagement programs, and learning and development opportunities

• Foster a positive and inclusive work culture that empowers employees to thrive

• Implement and manage performance management processes

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 5+ years of product management, product development, or prior experiences in strong product management functions that have involved building and shipping products to market

• Experience with the PM tech stack

• Experience using quantitative and qualitative data to inform product prioritization and decision-making

• SaaS experience, technical fluency

Other Requirements:

• Excellent written and verbal communication skills

• Experience in product operations

• Ability to wear many hats and pivot based on company needs

• Excitement and curiosity about taking on new and varied responsibilities in a fast-growing, dynamic organization

• Authorized to work in the US

Responsibilities:

• Familiarizing yourself with customer workflows, pain points, and objectives by using your curiosity

• Crafting exceptionally clear product requirements (written and visual), and managing product roadmaps and OKRs

• Managing the entire product development lifecycle for your products to ensure the right products are prioritized, built, shipped, marketed and adopted

• Interfacing and collaborating with multiple stakeholders to communicate the vision, end goal and help ship products to market

• Crafting and measuring quantitative metrics and KPIs to determine the delivered value, product usage, and customer satisfaction

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 4+ years of work experience selling cloud-based software products, preferably at a high growth start-up or large enterprise

• Proven ability to work long workweeks when needed

• Deep interest in machine learning and AI

• Successful in building relationships; customer obsessed

• Highly self-motivated and have demonstrated success in a competitive environment

Other Requirements:

• Strong team player, but can work and execute independently

• Excellent written and verbal communication skills

• Driven

• Hungry to learn and actively look for opportunities to contribute

• Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat

Responsibilities:

• Partner with Business Development Team to research, identify, and generate new business opportunities in order to build and manage a robust sales funnel

• Thoroughly analyze target markets for key use verticals, and execute effective sales tactics to drive expansion opportunities within both existing and potential customer base

• Host events to nurture existing client relations as well as enhance awareness of Hive’s products/services to new markets

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

• Manage complex sales process end-to-end, from lead generation to negotiating deals to onboarding, while providing excellent customer service

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 4+ years of work experience selling cloud-based software products, preferably at a high growth start-up or large enterprise

• Sales experience in ad intelligence or the media industry broadly

• Proven ability to work long workweeks when needed

• Deep interest in machine learning and AI

• Successful in building relationships; customer obsessed

Other Requirements:

• Highly self-motivated and have demonstrated success in a competitive environment

• Strong team player, but can work and execute independently

• Excellent written and verbal communication skills

• Driven

• Hungry to learn and actively look for opportunities to contribute

• Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat

Responsibilities:

• Partner with Sports, Media, & Marketing team to research, identify, and generate new business opportunities in order to build and manage a robust sales funnel

• Thoroughly analyze target markets for key use cases, and execute effective sales tactics to drive expansion opportunities within both existing and potential customer base

• Host events to nurture existing client relations as well as enhance awareness of Hive’s products/services in the targeted business community and new markets

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

• Manage complex sales process end-to-end, from lead generation to negotiating and closing deals, while providing excellent customer service

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree in Business, Accounting, Finance, or related field

Experience Requirements:

• 0-2 years of work experience, preferably in accounting, accounts payable or bookkeeping

• Proven ability to calculate, post and manage accounting figures and financial records

• Data entry skills along with a knack for numbers

• Hands-on experience with spreadsheets and proprietary software

• Proven ability to work long workweeks when needed

Other Requirements:

• Excellent written and verbal communication skills

• Demonstrated success in a competitive environment

• Highly ambitious in achieving goals and hungry to learn

• Strong team player, but can work and execute independently

• Intellectually curious, high attention to detail, and problem solver

Responsibilities:

• Process accounts and incoming payments in compliance with financial policies and procedures

• Perform day to day financial transactions, including verifying, classifying, computing, posting and recording accounts receivables' data

• Prepare general ledgers such as bills, invoices and bank deposits

• Reconcile the accounts receivable ledger to ensure that all payments are accounted for and properly posted

• Resolve and verify discrepancies by clients' billing issues

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree in Accounting, Finance, or related field

Experience Requirements:

• 5-7 years of relevant accounting experience, preferably in a Big 4 accounting firm

• CPA certification preferred

• Possess a good sense of financial analysis skills and deep understanding of accounting concepts

• Have excellent verbal and written communication skills with a demonstrated ability to communicate and work effectively with multiple functional areas in a collaborative, team environment

• Highly proficient in Excel and Powerpoint

Other Requirements:

• Have demonstrated success in a competitive, entrepreneurial environment

• Highly self-motivated and ambitious in achieving goals

• A critical thinker who can foresee potential obstacles and consider alternative approaches

• Possess a strong sense of urgency to respond to and address the needs of the company

Responsibilities:

• Partner with our VP of Finance on accounting functions and operations to create transparency and efficiency within the financial department

• Responsible for accurate accounting of costs, maintaining accurate and complete documentation

• Assist with preparing consolidated account schedules and quarterly reporting packages

• Manage the accounting and analysis of revenue and gross-to-net models

• Assist in modeling forecasted gross-to-net projections to provide insights

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 0-1 years of work experience

Other Requirements:

• Excellent written and verbal communication skills

• Demonstrated success in a competitive environment

• Highly self-motivated and ambitious in achieving goals

• Strong team player, but can work and execute independently

• Driven

• Hungry to learn and actively look for opportunities to contribute

• Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat

Responsibilities:

• Conduct internal and external analysis on Hive offerings to refine solutions and commercialization strategies

• Communicate outcomes of various projects and analytics to ensure growth and development of business goals

• Collaborate with machine learning and engineering teams in developing working solutions that benefit the client

• Enhance awareness in the targeted business community of Hive and our products / services

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 2-3 years of work experience at a top management consulting firm

Other Requirements:

• Excellent written and verbal communication skills

• Demonstrated success in a competitive environment

• Highly self-motivated and ambitious in achieving goals

• Strong team player, but can work and execute independently

• Driven

• Hungry to learn and actively look for opportunities to contribute

• Highly organized and detail-oriented; can handle multiple projects and dynamic priorities without missing a beat

Responsibilities:

• Conduct internal and external analysis on Hive offerings to refine solutions and commercialization strategies

• Own and manage aspects of client projects and delivery; serve as the critical bridge between our clients and our product teams

• Collaborate with the executive and business teams, as well as engineering, to create client presentations and execute deal documents

• Execute and advise on innovative solutions for clients within our media vertical

• Collaborate with machine learning and engineering teams in developing solutions that work for the client

Benefits:

• Competitive pay

• Equity

• Catered meals

• Comprehensive insurance

• Corporate gym membership

Education Requirements:

• bachelor's or graduate degree in Computer Science or a related field, such as Engineering or Mathematics

Experience Requirements:

• 1-3 years of work experience in a Product Management or Engineering role at a technology or technology consulting company

• Working knowledge of functional programming languages such as Python or Node.JS

• Experience in an interdisciplinary/cross-functional field

• Distinctive problem-solving skills and impeccable business judgment

Other Requirements:

• Excellent written and verbal communication skills

Responsibilities:

• Collaborate with engineering teams to ensure successful technical deployments

• Write scripts to analyze technical performance of production machine learning models

• Analyze customer submissions, data, and results to understand desired changes to the machine learning models

• Generate APIs for use by customers by ensuring accuracy of the technical configurations of the machine learning models

• Collaborate with the product team and other stakeholders to ensure customer needs are met, including resolving any technical issues that users run into while accessing our machine learning models