AI Jobs

Other Requirements:

• Operations leader to own and scale systems, processes, and infrastructure

• Equal parts strategist and executor

• Ability to understand product and engineering functions well enough to systemize their workflows

• Talented, intensely competitive operators

• Ability to move fast and give full autonomy for outcomes

Responsibilities:

• Own and scale the systems, processes, and infrastructure that enable our team to move at peak velocity

• Oversee business operations across finance, HR, recruiting, vendor management, legal coordination, and office operations

• Build the foundational systems that let a 6-person team scale to 100+ without breaking

• Automate workflows, optimize processes, and ensure cross-functional coordination

• Identify bottlenecks and build solutions, support financial planning and KPI tracking, and shape high-performance culture

Benefits:

• Meaningful (double digit!) equity stake

• Competitive compensation

• Sweet offsites

• Company-provided health insurance

• Mobile-phone reimbursement

Experience Requirements:

• At least 3 years of experience as a software engineer

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

Other Requirements:

• Some expectation of on-call platform support

• Bonus points if you've been a founder or built 0 to 1 before

• SF / Bay Area based candidates only, 3 days/week in SF

Responsibilities:

• Help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence

• Work on interesting features on our query intelligence, distribution engine that help our users get near instant response times

• Work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA, Deepseek and Anthropic to build amazing user experiences

• Work on how AI models enable powerful automated workflows

• Own technical execution across a team of three engineers

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Benefits:

• Equity and ownership in a fast-growing company.

• 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.

• Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage.

• Generous learning & development opportunities and an annual $2,000 stipend.

• Financial coaching through Origin to help you through your financial journey.

Experience Requirements:

• At least 6+ years of experience as a full stack engineer.

• Confident driving architectural decisions on both frontend and backend.

• Proficient in SQL for query and data analysis.

• Demonstrated success collaborating with partners in product, design and analytics to define, build, and ship great products and experiences.

• Experience leading large projects from idea to high quality delivery.

Other Requirements:

• Worked with ReactJS, Ruby, Ruby on Rails and PostgreSQL.

• Worked on SMB SAAS products at scale.

• Demonstrate ownership-mentality and maintain a high degree of accountability for your work.

Responsibilities:

• Regular collaboration on a cross-functional team with a designer, product manager and other engineers.

• Architect and build features that our SMB employers will use daily.

• Lead by example in maintaining a high standard of quality in your own work and in the feedback provided to peers.

• Lend technical knowledge and experience to influence the team’s roadmap and prioritization.

• Provide mentorship to engineers and unblock and support your team to meet deliverables.

Education Requirements:

• Bachelor’s degree in Computer Science, a related field or equivalent experience

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.

Experience Requirements:

• You have a knack for building intuitive UIs and seamless user experiences.

• You blend design thinking with solid engineering skills.

• You enjoy iterating quickly based on real user feedback.

Education Requirements:

• bachelor’s degree

Experience Requirements:

• two to five years of inside sales / telemarketing experience delivering quality CXO (CEO, CFO, CIO, etc.) business leads to highly motivated enterprise sales executives, and managing existing CXO relationships.

• Some expertise in industrial value chain operations (supply chain, maintenance, military, manufacturing, field services) is expected.

Benefits:

• competitive startup salaries

• early-stage stock

• unlimited vacation

• medical/dental benefits

• flexible work environment

Education Requirements:

• Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.

Experience Requirements:

• 3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.

Responsibilities:

• Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.

• Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.

• Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.

• Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.

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

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience in designing and building high-performance and secure APIs

• Strong programming skills in Python

• Knowledge of cloud computing, SaaS, and microservices architecture

• Familiarity with Docker, and Kubernetes

• Experience with performance optimization and scalability of distributed systems

Other Requirements:

• Excellent problem-solving and debugging skills

• Strong teamwork and communication skills

• A passion for staying updated on emerging technologies and industry trends

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.

• Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.

• Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.

• Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.

• Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company

Experience Requirements:

• Proven experience in building and optimizing database engines

• Prior experience with PostgreSQL extensions

Other Requirements:

• Solid foundation in data structures, algorithms, and database design

• Problem-solving skills and a passion for enhancing database performance

• Excellent communication and collaboration abilities

• Strong analytical mindset and a drive for innovation

Responsibilities:

• Invent, design, develop, and optimize core database engines.

• Collaborate on projects that involve NLP and machine learning applications to extract valuable insights from structured and unstructured data.

• Tackle complex database challenges, including schema design, query optimization, and distributed data processing.

• Stay current with emerging trends in database management, NLP, and machine learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Experience with model training, deploying, and maintenance.

• Strong knowledge of reinforced feedback techniques and reinforcement learning.

• Proficiency in frameworks like PyTorch, TensorFlow, or similar.

• Familiarity with NLP, text generation, and language understanding

Other Requirements:

• Strong problem-solving skills and a passion for addressing complex AI challenges.

• Excellent communication and collaboration abilities.

• Self-motivated and eager to stay at the forefront of AI advancements

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.

• Implement and experiment with RLHF to enhance model performance and decision-making.

• Collaborate with cross-functional teams to integrate language models into various applications and platforms.

• Work on model fine-tuning, performance optimization, and continuous improvement.

• Stay up-to-date with the latest research and trends in language modeling and RLHF.Contribute to research projects and technical publications.Participate in code reviews and mentorship of junior engineers

Education Requirements:

• Bachelor’s Degree (or related field)

Experience Requirements:

• 3+ years of experience in product marketing, preferably in a SaaS or technology-driven environment

• Proven track record of launching products and driving go-to-market strategies that result in significant growth

• Experience in the legal technology space or other highly regulated industries is a plus

• Strong background in market research, competitive analysis, and customer insights

• Experience working in startups or fast-growing companies with the ability to adapt quickly to changing priorities

Other Requirements:

• Exceptional ability to translate complex product features into clear and compelling marketing messages

• Strong project management skills with the ability to prioritize tasks and manage multiple projects simultaneously

• Deep understanding of digital marketing channels, content creation, and sales enablement

• Analytical mindset with experience using data to inform decision-making and optimize marketing strategies

• Ability to work collaboratively with cross-functional teams, including product, sales, and engineering

• Self-driven, adaptable, and able to thrive in a fast-paced, startup environment

• Excellent verbal and written communication skills, with the ability to create compelling narratives for various audiences

Responsibilities:

• Lead the development and execution of go-to-market strategies for Tavrn's AI-driven legal tools

• Craft compelling product messaging and positioning that clearly conveys the value of our solutions to personal injury attorneys and legal professionals

• Create high-impact marketing collateral, including product demos, case studies, whitepapers, presentations, and videos

• Collaborate with the product team to understand upcoming features and product enhancements, translating them into marketing opportunities

• Conduct market research and competitive analysis to refine our positioning and identify growth opportunities

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Education Requirements:

• BS, MS or PhD in Computer Science or related technical discipline

Experience Requirements:

• 8+ years proven experience as a software engineer

• 3+ years of engineering leadership experience

• Experience designing, developing and owning production quality backend architectures and services

Other Requirements:

• Good programming experience in backend development technologies

• Strong experience working with data stores

• Experience building cloud native, containerized applications

Responsibilities:

• Driving technical design and implementation of architecture

• Collaborating with cross-functional teams

• Ensuring high-quality engineering efforts

• Mentoring fellow engineers

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Experience Requirements:

• Demonstrated expertise in architecting comprehensive frontend systems

• Experience with Javascript, Typescript, HTML, CSS and frameworks like React or Vue

• Familiarity with RESTful API

Other Requirements:

• Experienced in modern dev tools, process and methodologies

• Good communication skills

Responsibilities:

• Developing new user-facing features

• Defining architecture standards

• Building reusable components

• Translating designs into code

• Optimizing components for performance

Benefits:

• Work Remotely

• Fair Compensation

• Multinational Team

• Team Empowerment

Benefits:

• Work Remotely

• Fair Compensation

• Multinational Team

• Team Empowerment