Benefits:

• Meaningful early stage equity

• Medical, dental and vision plan options with little-to-no cost for employees and dependents

• Company paid short- and long-term disability plans

• Company paid life insurance

• 401K with Employer Match

Experience Requirements:

• at least 3 years building trust, following through on commitments, and making sure partners have what they need to grow with your company and products.

• held roles in account management, partner success, enablement, or solutions engineering

• exceptional people skills combined with solid technical acumen.

Other Requirements:

• extensive travel (up to 80% of the time) is expected

• visa sponsorship is not available for this position.

Responsibilities:

• Drive success for existing and strategic partners by ensuring they are equipped to sell, deploy, and expand Spot AI solutions.

• Act as the primary point of contact for key partners—building trust, supporting execution, and strengthening long-term relationships.

• Enable and educate partners on Spot AI’s platform through training sessions, playbooks, and joint go-to-market resources.

• Collaborate cross-functionally with sales, marketing, and product teams to create the materials and messaging needed to help partners succeed.

• Support revenue growth by expanding within existing partner accounts and co-selling in strategic opportunities.

Benefits:

• Meaningful early stage equity

• Medical, dental and vision plan options with significant company contributions towards premiums

• Company paid short- and long-term disability plans

• Company paid life insurance

• 401K with Employer Match

Experience Requirements:

• 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.

• strong background in AI, ideally with video processing experience

• understand classic deep learning techniques, from YOLO to transformer models to linear classifiers.

• experience with the latest AI foundation models, from embeddings to LLMs and prompt engineering.

• deeply understand software design, architecture, big-data processing pipelines, and best practices on systems design + scalability, code quality, and data/model design.

Other Requirements:

• visa sponsorship is not available for this position.

Responsibilities:

• advancing Spot AI’s capabilities, using your AI expertise to drive innovative solutions for businesses with physical environments

• Leading the design and integration of AI-driven features, you’ll elevate both new and existing products

• apply cutting-edge AI techniques to transform video data into actionable insights

• setting standards in AI reliability and performance

• Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.

Benefits:

• Competitive salary and comprehensive benefits.

• Flexible working hours and remote work opportunities.

• A dynamic and friendly work environment.

• Opportunities for professional development and career progression.

• Company-sponsored learning initiatives and tech conferences.

Experience Requirements:

• 7+ years of professional experience as a Full Stack Developer or similar role.

• Strong knowledge of JavaScript, TypeScript, and Python.

• Experience with SQL databases and Object-Relational Mapping (ORM) frameworks.

• Proficiency in version control systems like Git.

• Knowledge of agile development methodologies.

Other Requirements:

• Strong problem-solving abilities and capacity to work independently as well as in a team.

• Excellent communication and teamwork skills, with a keen eye for detail and a problem-solving mindset.

• Self-starter comfortable with identifying opportunities, proactively defining, and driving forward-looking roadmaps.

• Passionate about solving productivity challenges and empowering other engineers.

• Proven experience in leading projects and effectively communicating with cross-functional partners.

• Deep understanding of automation tools and frameworks.

• Experience with Supabase for data storage, user authentication, and serverless cloud functions.

• Thrive in an ambiguous environment and can self-manage and prioritize your time, energy, and resources.

• Understand engineering is a team sport and actively seek feedback and dissent.

Responsibilities:

• designing and building high-quality, efficient, and reusable back-end systems and APIs.

• craft an intuitive and interactive UI using ReactJS, allowing users to navigate complex data seamlessly.

• manage all phases of the software development life cycle, collaborating closely with Product and Design teams to translate end-user requirements into practical software solutions.

• lead, mentor, and support other team members, fostering a culture of continuous learning and improvement.

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field

Experience Requirements:

• 4+ years of experience in software QA engineering

• Strong knowledge of automated testing frameworks (e.g., Cypress, Playwright, Selenium, or similar)

• Experience testing modern web applications and RESTful APIs

• Familiarity with Git, CI/CD pipelines, and test environments

• Proficient in writing clear, concise bug reports and documentation

Other Requirements:

• Exposure to governance, access control, or identity systems

• Experience with performance/load testing

• Knowledge of cloud infrastructure (e.g., AWS, GCP) and containerized environments

Responsibilities:

• Develop and maintain comprehensive test strategies across backend services, APIs, and data pipelines

• Build, maintain, and improve test automation frameworks (integration, regression, E2E, performance)

• Perform manual testing to validate new features, edge cases, and user scenarios

• Identify, isolate, and document bugs thoroughly—work closely with engineers to resolve them

• Collaborate with developers during planning and design to establish clear acceptance criteria and test coverage

Education Requirements:

• Bachelor’s degree or higher in Human-Computer Interaction (HCI), Interaction Design, Psychology, Cognitive Science, Graphic Design, or a related field

Experience Requirements:

• 4+ years of hands-on experience in UX design and research roles

• Strong understanding of UX principles, usability heuristics, and design thinking methodology

• Proficiency in tools such as Figma, Miro, and wireframing/prototyping software

• Experience with user research techniques (interviews, usability tests, surveys) and synthesis methods

• Ability to translate complex problems into simple, intuitive solutions

Other Requirements:

• Experience designing B2B or SaaS products in a startup or agile environment

• Familiarity with tools like Hotjar, FullStory, Mixpanel, or Google Analytics

• Exposure to AI-driven or LLM-integrated product environments

• Understanding of accessibility standards (WCAG) and inclusive design

• Experience working with remote and globally distributed teams

Responsibilities:

• Conduct in-depth user research through interviews, surveys, usability testing, and data analysis

• Map and analyze end-to-end user journeys to identify friction points and opportunities

• Zoom into critical interaction points such as how a user completes a single action or interprets a single screen and refine usability at the micro level for maximum clarity and efficiency

• Create user personas, journey maps, user flows, wireframes, and prototypes to communicate design intent

• Collaborate closely with product managers, designers, and developers to translate insights into product improvements

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity

• Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria

• Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding

• Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration

• Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations

Other Requirements:

• Track record of building scalable demo systems, reusable solution assets, and pre-sales processes

Responsibilities:

• Lead technical pre-sales engagements

• Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities

• Own the “Proof-to-Contract” motion

• Act as a consultative discovery partner

• Build reusable demo systems and technical frameworks

Education Requirements:

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

Experience Requirements:

• 1–3 years of AI experience and 3+ years of backend development experience (professional or equivalent project-based)

• Solid knowledge of Python or a similar backend language

• Familiarity with building RESTful APIs and working with databases

• Basic understanding of cloud environments (e.g., AWS, GCP)

• Strong interest in AI technologies and willingness to learn how to support them in production

Other Requirements:

• Exposure to AI/ML concepts, especially LLMs or NLP systems

• Experience working in a product-focused or early-stage startup environment

• Familiarity with containerization (Docker) and orchestration (Kubernetes)

• Experience using message queues (e.g., Kafka, RabbitMQ) is a plus

Responsibilities:

• Develop and maintain backend services supporting AI features and business logic

• Collaborate closely with AI researchers, product managers, and frontend engineers

• Implement clean, maintainable, and testable code

• Optimize APIs and data processing pipelines for performance and scalability

• Participate in code reviews, design discussions, and team meetings

Education Requirements:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics) or equivalent, extraordinary practical experience

Experience Requirements:

• Demonstrated history of exceptional talent and achievement in a rigorous field

• Proven ability to build complex systems from scratch and a strong portfolio of projects that showcase this skill

• Expert-level proficiency in Python and deep familiarity with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX)

• Strong software engineering fundamentals, including data structures, algorithms, and writing clean, maintainable code

• A "ship it" mentality and a deep-seated drive to build things that work

Other Requirements:

• Contributions to open-source projects, research tools, or datasets

• Experience building and deploying full-stack AI applications

• Familiarity with modern cloud infrastructure (GCP, AWS, etc.) and MLOps tools (Docker, Kubernetes)

• Experience with large-scale data processing and model optimization

• A public portfolio of projects (e.g., on GitHub) that demonstrates your building skills

Responsibilities:

• Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency

• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code

• Rapidly survey, select, and implement the most effective state-of-the-art models and techniques to solve immediate business problems

• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed

• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done

Education Requirements:

• Degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 5-10 years of backend engineering experience

• Strong proficiency in backend languages (Python and alike)

• Proven track record in a high-paced startup environment

• Experience with unmanaged backend microservices environments including Docker, Kubernetes, and message queues

• Experience with databases, APIs, and web services

Other Requirements:

• Background in B2C Product-Led Growth (PLG) products

• Expertise in NLP, AI, LLMS

• Experience with Elasticsearch

Responsibilities:

• Develop high-quality, scalable, and secure backend services

• Collaborate with frontend developers and product teams to integrate AI capabilities

• Engage in all technical aspects without reliance on DevOps support

• Uphold a culture of high efficiency, creativity, and quality

• Make fast, data-driven decisions and demonstrate ownership

Education Requirements:

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

Experience Requirements:

• 4+ years of experience in software engineering or data engineering roles

• Proficiency in Python (or another high-level language), and experience with backend frameworks (e.g., FastAPI, Flask)

• Strong experience with data engineering tools and systems such as Airflow, Spark, dbt, or similar

• Hands-on experience with cloud platforms (GCP, AWS, or Azure), especially in data infrastructure

• Solid understanding of ETL/ELT pipelines, APIs, and microservices

Other Requirements:

• Experience building systems that interact with LLMs, RAG pipelines, or agentic architectures

• Familiarity with graph databases, vector stores, or semantic search technologies

• Experience working in startups or fast-moving product teams

• Exposure to DevOps and CI/CD practices in cloud-native environments

• Understanding of real-time data streaming technologies (Kafka, Pub/Sub, etc.)

Responsibilities:

• Design, build, and maintain scalable data pipelines and systems that support agentic applications

• Develop backend services and APIs that handle data ingestion, transformation, and access

• Work closely with the Data Engineering lead to define architecture and technical direction

• Integrate structured and unstructured data sources into agent workflows

• Ensure high performance and reliability of data systems in production environments

Experience Requirements:

• 5+ years managing software teams (people + projects) in remote, globally distributed environments

• Proven track record of leading high-performing teams in fast-paced, product-driven environments

• Strong technical judgment; comfortable reviewing PRs at a high level, scoping tickets, and challenging estimates

• Understanding of scalable architectures, APIs, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure)

• Excellent communication skills — able to provide clarity, context, and motivation across remote teams

Other Requirements:

• Experience in Agentic AI, or LLM-based product development

• Background in enterprise SaaS, platform engineering, or SRE

• Exposure to early-stage, VC-backed startups or global remote teams

• Familiarity with modern frameworks: FastAPI, React, Next.js, or similar

• Experience scaling engineering orgs (hiring, process, and mentorship)

Responsibilities:

• Lead a cross-functional team of software engineers, ensuring clarity in goals, timelines, and ownership

• Mentor engineers through code reviews, career growth plans, and performance feedback

• Own delivery — ensuring projects are shipped on time with high quality and measurable impact

• Establish and refine team processes for sprint planning, documentation, and release cycles

• Partner with recruiting to attract and onboard top engineering talent

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• image generation

• image personalization

• image matting

• super-resolution

• colorization

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• LLM datasets and benchmarks

• named-entity recognition (NER) & information retrieval (IR)

• reasoning systems

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• developing datasets, benchmarks, and models in pursuit of AI doctors and curing cancer

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

• no ML experience required

Other Requirements:

• passion for data and programming

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News