Experience Requirements:

• 2+ years professional Rust experience or 5+ yrs professional C/C++ experience

• Experience in designing, implementing, scaling, and shipping production distributed and data systems.

• A track record of strong design, architectural, engineering, and product decisions.

• Excellent communication skills.

• Ability to ramp up quickly and hit the ground running.

Responsibilities:

• Work side-by-side with the founders as a leader and outstanding contributor in the [Spice.ai](https://github.com/spiceai/spiceai) open-source project.

• Contribute to designing and building the [Spice.ai](http://Spice.ai) Cloud Platform, and data platforms.

• Take ownership of initiatives to improve our offerings and deliver exceptional developer experiences.

Experience Requirements:

• 4-6 years of proven experience in developer relations, advocacy, product marketing, or a similar role.

• A track record of excellent marketing and communication decisions.

• Excellent communication and writing skills, comfortable with deep technical writing and conference presentations, with a talent for distilling complex technical concepts into clear, accessible language.

• Experience managing social media platforms and creating engaging digital content.

• Leadership skills with the ability to inspire and grow a technical community.

Responsibilities:

• Be one of the technical faces of Spice AI.

• Work side-by-side with the CEO to develop, lead, and execute on all areas of Spice AI's DevRel and Developer Marketing strategy.

• Build and grow an engaged technical community with industry-leading technical content including documentation, blogs, and thought leadership articles.

• Develop and maintain sample applications and demos to showcase Spice AI capabilities.

• Participate actively in developer forums, events, and conferences.

Experience Requirements:

• At least 2 years professional experience with Rust or 3+ years professional experience in C/C++

• Experience in designing, implementing, scaling and shipping production distributed and data systems.

• A track record of strong design, architectural, engineering and product decisions.

• Excellent communication skills.

• Ability to ramp up quickly and hit the ground running.

Responsibilities:

• An outstanding contributor in the [Spice.ai](https://github.com/spiceai/spiceai) open-source project.

• Creating, designing, and building the distributed and data systems architecture of the [Spice.ai](https://spice.ai) Cloud Platform, our cloud systems, and spicerack.org.

• Take ownership and drive initiatives for improving the product.

Experience Requirements:

• 4-6 years of proven experience in developer relations, advocacy, product marketing, or a similar role.

• A track record of excellent marketing and communication decisions.

• Excellent communication and writing skills, comfortable with deep technical writing and conference presentations, with a talent for distilling complex technical concepts into clear, accessible language.

• Experience managing social media platforms and creating engaging digital content.

• Leadership skills with the ability to inspire and grow a technical community.

Responsibilities:

• Work side-by-side with the CEO to develop, lead, and execute on all areas of Spice AI's Product Marketing strategy.

• Build and grow an engaged technical community with production of industry-leading technical content including documentation, blogs, and thought leadership articles.

• Participate actively in developer forums, events, and conferences.

• Own Spice AI's marketing websites, product newsletters, company blogs and GitHub landing pages.

• Own all social media engagement, ensuring a consistent and impactful presence.

Benefits:

• Healthcare

• Fitness

• Internet & Cell Allowance

• Professional Courses

• Performance Coach

Experience Requirements:

• 2+ years professional Rust experience or 5+ yrs professional C/C++ experience

• Experience in designing, implementing, scaling, and shipping production distributed, data, and AI systems.

• A track record of strong design, architectural, engineering, and product decisions.

• Excellent communication skills.

• Ability to ramp up quickly and hit the ground running.

Responsibilities:

• Work side-by-side with the founders as a leader and outstanding contributor in the [Spice.ai](https://github.com/spiceai/spiceai) open-source project.

• Contribute to designing and building the [Spice.ai](http://Spice.ai) Cloud Platform, and data platforms.

• Take ownership of initiatives to improve our offerings and deliver exceptional developer experiences.

Experience Requirements:

• 2+ years experience building applications with impressive user experiences

• 2+ years of Python experience for both QT and Django roles

Responsibilities:

• Building our QT based App forWindows, macOS and Linux

• OR Building our Django based web application

Experience Requirements:

• 2+ years experience with Python

• Experience with Airflow or similar orchestration engines

Responsibilities:

• Supporting our customers build their data pipelines using Practicus AI

Experience Requirements:

• 3+ years experience working with Unix Linux systems from kernel to shell and beyond

• 3+ scripting experience in Shell and Python

• 2+ years of Kubernetes experience

Responsibilities:

• Create, manage and integrate software to automate and secure Kubernetes environments

• Develop solutions that can support large capacity and scale reliably, in a 24/7 environment

• Collaborate with the Information Security and Software development teams to support operational capabilities

Responsibilities:

• Working directly with the SportTechie President to cover the latest sports tech stories.

• Writing articles that range from research intensive to straightforward review pieces about the latest sports tech products and stories.

• Covering topics of interest as assigned by the SportTechie President.

• Producing 1-2 articles per week.

• Maintaining a flexible schedule and communicating quickly via email.

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:

• You get excited and take pride in working on something that is changing people's lives for the better.

• You are energetic, willing to put in the work and enjoy the fast-paced nature of a startup.

• You love animals and are familiar - or want to get deeply familiarized - with the veterinary medicine industry.

• As an early-stage member of the team, you get to influence the product, the direction of the company, hiring, and the forming of new teams

Experience Requirements:

• 1+ years

Benefits:

• Competitive rewards package

• Unparalleled career growth opportunities

• Supportive, fun and engaging culture

• Office hubs across the globe

• Flexible vacation time

Education Requirements:

• Bachelor’s Degree or higher

Experience Requirements:

• 7+ years of Digital Commerce and CPG/FMCG experience

Other Requirements:

• Industry leading domain expertise in both Retail and Media functions

• Excellent communication and interpersonal skills

• Solution oriented mindset

• Strong team management experience

• Comfortable with ambiguity

• Results driven with strong customer focus

• Team player

• Intellectually curious

• Bias for action

• Proactive and independently motivated

Responsibilities:

• Lead the designated clients at Flywheel

• Collaborate with Omnicom leaders

• Interface directly with Amazon and other retailers

• Constantly seek ways to improve team’s operating efficiency

• Collaborate with Flywheel leaders

Experience Requirements:

• 5 or more years’ experience as Producer, Project Manager or ScrumMaster

Responsibilities:

• Passion for creating engaging, innovative, emotional and transformative experiences, both through digital and real-world touchpoints.

• Proven track record for delivering highly aligned teams in on-time releases to delighted customers and users.

• Clarity of development roadmaps, including risk identification and mitigation, organized into reliable backlog

• Proven track record of highly reliable, high-quality software releases

• Experience working with external development and manufacturing partners. Demonstrable project management experience in Agile scrum environment using Atlassian tools Experience delivering across multiple platforms, whether digital (e.g. iOS, Android, web), traditional (e.g. printed materials, merchandise, hard goods) and events. Experience in data driven development, working collaboratively with data scientists

Responsibilities:

• Effectively engage internal and external stakeholders in the process of understanding and actioning Ander’s data.

• Turn problems into projects, information into intelligence, and insight into business decisions that drive engagement.

• Engineer, deploy, integrate, document, maintain, and scale cloud-based data science systems.

• Research, recommend, and implement new systems and infrastructures.

• Increase efficiency through automation and configuration optimizations. Collaborate on a team, including outsourced engineers, to develop ETL processes on a variety of structured and unstructured sources. Contribute to a future-ready, high quality, durable, and performant code base and analytics toolset. Proficient enough in DevOps to configure and maintain your own dev and test environments—don’t mind getting your hands dirty with system admin. Stay current with best practices in data quality management, including adherence to data privacy laws and regulations

Benefits:

• Health insurance (100% medical, dental, vision)

• 401k with matching

• Flexible vacation policy

• Scooter reimbursement

• Orca card sponsorship (if you prefer bussing over scooting!)

Benefits:

• Health insurance (100% medical, dental, vision)

• 401k with matching

• Flexible vacation policy

• Scooter reimbursement

• Orca card sponsorship (if you prefer bussing over scooting!)

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:

• 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:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.

• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.

• Team members are able to enroll in our company’s 401k plan.

• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.

• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Education Requirements:

• BS or higher in Computer Science or a related field (MS a plus)

Experience Requirements:

• 2+ years of experience implementing machine learning or AI (including at least one year of prompt engineering and/or fine-tuning large language models)

Other Requirements:

• Strong software engineering skills. Experience with system building (e.g., web application frameworks) or deep learning frameworks (e.g., PyTorch, Tensorflow). Contributions to open-source research libraries (e.g., spaCy, Hugging Face’s Transformers) are a plus.

• A passion for using AI to deliver high-quality products and user experiences

Responsibilities:

• Build infrastructure that powers groundbreaking research with real-world impact on accelerating science

• Conduct ML/AI/HCI experiments for research projects

• Implement and share open-source software to improve access to our research,

• Collaborate with and learn from team members across Ai2, including scientists and engineers,

• Mentor early-career researchers, engineers, and interns on their projects, and Contribute toward scientific papers for publication in high-profile computing conferences and journals

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.

• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.

• Team members are able to enroll in our company’s 401k plan.

• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.

• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Education Requirements:

• Bachelor's degree in Computer Science or relevant engineering experience.

• JD

• Licensed to practice law in Washington State

• PhD

Experience Requirements:

• A minimum of 2 years of software development experience.

• 3+ years of transactional experience in a law firm or corporate environment

• Experience and/or interest in project management to establish or improve processes and streamline legal team efforts with existing workflows in the company

• Experience building and deploying a relevant ML application in a practical or academic research setting

• At least one first-authored publication making extensive use of ML

Other Requirements:

• Knowledge of modern deep learning and natural language processing techniques.

• Strong software engineering skills, particularly around building performant systems and debugging.

• Experience with Python and PyTorch.

• Familiarity with software using container technologies (e.g. Docker) to deploy web-based services.

• Proficiency in technology transactions, including software and IP licensing

• Self-starter: Does not need daily directions or close supervision to make decisions

• Skilled in working with ambiguity

• Start-up mentality; adaptable, can pivot quickly

• Comfortable identifying and solving for risks

• Ability to adjust rapidly to new strategies and approaches for building support in a fast-moving environment

• Excellent presentation and facilitation skills: polished, concise, catered messages to different audiences

• Ability to build strong relationships with leaders at all levels to obtain successful outcomes and move the business forward

• Google Suite product experience

• Ability to work on complex issues where problems are not clearly defined and where fundamental principles do not fully apply

• Substantial experience building and deploying a relevant ML application in a practical or academic research setting

• Fluent in Python and collaborative coding practices

• Demonstrated excellent communications skills

• Formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development

• Previously held a professional or post-doctoral position using your machine learning skills

• Formal graduate-level ML coursework

Responsibilities:

• Building infrastructure to facilitate the next generation of LLM research.

• Optimizing training and inference for language models.

• Developing infrastructure to deduplicate and analyze datasets at scale.

• Triaging between experiments and executing on the most impactful.

• Supporting and collaborating with an open-source community.