Benefits:

• fully covered health/dental/vision

• transportation reimbursement

• Free meals

• Stocked kitchen with drinks, snacks, matcha and an espresso machine

• Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)

Education Requirements:

• Degree in Computer Science or related technical field

Experience Requirements:

• 4+ years of frontend engineering experience building complex, user-facing applications

• Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.

• In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies

• Excellent communication skills and ability to collaborate with cross-functional teams

• Strong product/design intuition.

Other Requirements:

• Familiar with Python, Postgres

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.

• Collaborating closely with the design team + founders

• Setting frontend priorities and best practices

• Building an exceptional design / frontend engineering culture

• Fostering an open-source community; guiding contributors on adding to the frontend

Experience Requirements:

• Have 3+ years of AI/ML engineering experience building real-world applications

• have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms

• Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks

• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs

• Excellent communication skills and ability to collaborate with full stack roles

Other Requirements:

• Familiar with the full stack Typescript/React/NextJS, Python, Postgres

• Interested in writing technical blogs to establish Onyx is leader in the space

Responsibilities:

• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms

• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.

• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx

• Own the approach from inception to validation to production code

• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy

Experience Requirements:

• Have 1-5 years (or more) of software engineering experience building real-world applications

• Know Typescript/React/NextJS, Python, Relational DBs (Postgres)

• Enjoy working in a fast moving startup with low amounts of process

• Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

Other Requirements:

• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments

• Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features

• Extending the backend functionalities and APIs (see below)

• Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features

• Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)

• Own the entire development cycle of new features, from conception to production

Benefits:

• Lunch, dinner and snacks at the office

• Fully covered medical, dental, and vision insurance for employees

• 401(k)

• Relocation and immigration support

• Your own personal Yoshi

Education Requirements:

• Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience

Experience Requirements:

• 8+ years of product management experience for highly technical products, preferably in AI/ML or developer tools

• Proven track record with shipping products that developers and enterprises rely on

• Strong technical communication skills with ability to explain complex AI concepts to both technical and non technical audiences

• Experience working directly with customers to gather requirements and influence product development

• Understanding of AI model evaluation, testing methodologies, and performance metrics

Other Requirements:

• Direct experience conversational AI products

• Experience building and leading high-performing product teams in fast-growing environments

• Background in AI/ML product development

• Experience building product management 0 to 1 at an early stage startup (Series A or B)

Responsibilities:

• Build and optimize enterprise-grade voice AI agents powered by our state-of-the-art audio models across diverse use cases

• Drive product excellence through rigorous evaluation frameworks and testing methodologies for both audio models and voice agents, creating benchmarks for performance, naturalness, and user satisfaction

• Engage deeply with customers and design partners across all organizational levels to discover requirements, deliver compelling demonstrations, and secure strategic partnerships

• Execute our agent product roadmap in close alignment with our GTM team, ensuring customer feedback directly influences development priorities and market expansion strategies

• Establish voice AI standards by creating comprehensive best practices, implementation guides, and training materials for customers building voice experiences

Experience Requirements:

• Strong engineering fundamentals and experience building and operating large-scale distributed systems

• Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm

• A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast

• Ability to balance principled engineering with the urgency of keeping mission-critical systems alive

• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)

Other Requirements:

• Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.

• Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar

• Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism

Responsibilities:

• Design and build large-scale GPU clusters for model training and low-latency inference

• Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing

• Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization

• Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance

• Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior level

• Extensive experience with data infrastructure and architecture at scale

• Proficient in at least one programming language, preferably Python

• Fluent in SQL and you understand the internals of modern data warehouses (ideally BigQuery)

• Comprehensive verbal and written English communication skills

Other Requirements:

• Demonstrated value creation mindset toward both internal and external customers

Responsibilities:

• Design, build, and maintain the Veo data platform and pipelines from end-to-end

• Collaborate with business stakeholders, software engineers, and analytics engineers

• Develop and maintain scalable, efficient, and reliable ETL processes

• Work with stakeholders to identify and prioritize analytics requirements

• Proactively monitor data infrastructure, troubleshoot, and resolve data-related issues

Benefits:

• A great modern workplace at the forefront of technological innovation

• Possibility to work at the intersection of embedded, AI, and cloud

• Big focus on employee well-being and culture

• Energetic, tech-savvy, and passionate organization

• Choose your own setup

Experience Requirements:

• At least a 3-5 years of industry experience with working on connected embedded products

• Expert knowledge in solving the usual day to day problems in such a system

• Seniority in their field, with confidence in their skills

• Capacity to independently investigate and resolve issues

• Well-versed in defining firmware and application architectures

Other Requirements:

• Wireless communication (BLE / WiFi) extensive experience

• Integration with cloud systems extensive knowledge

• Linux media pipelines (Gstreamer) experience

• Embedded hardware knowledge in-depth understanding

• Ability to coordinate larger initiatives on the firmware stack

Responsibilities:

• Contribute to our camera firmware team

• Solving the usual day to day problems in such a system

• Venture into new territory in terms of new SoCs, video pipelines, communication protocols, and application architecture

• Independently investigate and resolve issues

• Coordinate larger initiatives on the firmware stack

Benefits:

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven Leadership experience with GStreamer development (or similar frameworks) in embedded and cloud environments

• Ability to lead and inspire technical teams, set clear priorities, and deliver tangible outcomes

• Deep understanding of video encoding/decoding, GPU and ISP pipelines, cloud media processing, and edge computing

• Proficiency with C++ and/or Rust, and Python

• Hands-on experience with CUDA, HIP, Vulkan, or other GPU programming frameworks

Other Requirements:

• Strong background in real-time media pipelines, video optimization, and low-latency streaming

• Familiarity with both embedded systems and cloud-based media architectures

• Approachable with a growth mindset, developing an innovative and inclusive positive team spirit

Responsibilities:

• Lead and develop a high-performing team of 8+ engineers

• Own the end-to-end video and audio processing pipelines

• Prioritize and manage backlogs, unblock teams, and ensure scalable engineering practices

• Collaborate with hardware, firmware, cloud platform, and product teams to deliver industry-leading media experiences

• Optimize the video quality-to-cost ratio across different platforms

Benefits:

• A great modern workplace at the forefront of technological innovation

• Possibility to work at the intersection of embedded, AI, and cloud

• Big focus on employee well-being and culture

• Energetic, tech-savvy, and passionate organization

• Choose your own setup

Experience Requirements:

• Experience with working on connected embedded products

• Strong foundation in embedded Linux

• Fluency in at least two of Rust, Python and C

• Expertise in developing firmware for embedded Linux (Yocto) systems

• Ability to develop low-level drivers and firmware for a variety of MCU architectures

Other Requirements:

• Wireless communication (BLE / WiFi) experience

• Integration with cloud systems (REST APIs, AWS)

• Linux media pipelines (Gstreamer) experience

• Embedded hardware knowledge

Responsibilities:

• Contribute to our camera firmware team

• Keeping the products and the firmware ecosystem in a healthy state

• Dive into everything from Yocto configuration to application architecture

• Debugging day to day challenges with Yocto, bootloaders, filesystems, kernel modules, systemd and d-bus

• Interface with both worlds (video processing and AI)

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Education Requirements:

• MSc or PhD in a relevant field

Experience Requirements:

• Hands-on experience with real-world, large-scale machine-learning projects

• Great coding skills

• Skilled at both autonomous tasks and contributing to group efforts

• Ability to examine details closely and critically

• Experience with computer vision is advantageous but not a must

Responsibilities:

• Train state-of-the-art machine learning models

• Write efficient inference pipelines for cloud and edge

• Define and supervise data annotation tasks

• Improve evaluation schemes to increase understanding of model performance and shortcomings

• Contribute to long-term planning and prioritization of tasks

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• 5+ years in strategic planning, business operations, or program management

• Demonstrated ability to manage company-wide planning cycles and OKR processes efficiently

• Experience tailoring planning approaches to different functions and teams

• Advanced analytical and problem-solving proficiency

• Skilled at aligning senior leaders and diverse stakeholders on goals

Other Requirements:

• Fluent in English (spoken and written)

Responsibilities:

• Own and run Veo’s annual and quarterly planning cycles

• Partner with product, revenue, and R&D leadership to define priorities, targets, and shared success metrics

• Own planning frameworks and tools to surface when initiatives are off track

• Facilitate cross-functional execution of top strategic initiatives

• Maintain a single-source roadmap and reporting rhythm for leadership

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• 2–5 years in strategy, business development, or commercial roles

• Passion for sports, with a strong understanding of US sports culture and market dynamics

• Experience validating and scaling new revenue initiatives (SaaS/tech a plus)

• Strong commercial and analytical skills

• Experience running pilots, customer interviews, or early-stage go-to-market strategies

Other Requirements:

• Ability to balance “Build vs. Buy” options, including M&A/partnership opportunities

• Confident in influencing senior stakeholders, excellent written and spoken English

Responsibilities:

• Identify and evaluate new growth opportunities in sports, geographies, and business segments

• Lead market research, customer interviews, and competitive analysis in target areas

• Design and test pilots to validate monetization and product fit

• Build clear business cases and investment recommendations for leadership

• Translate approved initiatives into actionable plans for product and commercial teams

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analytics Engineer level or above

• Expert-level proficiency in SQL, dbt, and data modeling

• Strong experience with analytics engineering best practices

• Proven ability to mentor and develop technical talent

• Strategic mindset with ability to balance technical excellence with business pragmatism

Other Requirements:

• Demonstrated ability to influence technical standards and drive adoption through value

Responsibilities:

• Influence foundational data architecture strategy

• Shape analytics engineering practice across the data team and embedded analysts

• Design and champion the metrics layer and semantic definitions

• Mentor and develop analytics engineering talent

• Drive continuous improvement of analytics engineering capabilities

Benefits:

• $100,000-$160,000/year, commensurate with experience

• Flexible work hours and remote work opportunities

• Collaborative and inclusive work environment

• A chance to work on cutting-edge technologies and become a foundational role-player at an early-stage company

Experience Requirements:

• Strong proficiency in React/Next.js

• Experience working with a Python/Flask backend

Other Requirements:

• Knowledge of modern front-end build pipelines and tools

• Ability to problem-solve independently

• Ability to collaborate with a remote, fast-paced team

• Experience and enthusiasm for generative AI

Responsibilities:

• Develop new user-facing features using React/Next.js

• Build reusable components and front-end libraries for future use

• Collaborate with back-end developers and UX/UI designers to translate designs into high-quality code

• Optimize components for maximum performance across a wide array of web-capable devices and browsers

• Maintain brand consistency throughout the design

Benefits:

• Medical/dental/vision insurance

• Unlimited PTO

• Team lunches

• Beautiful office in SF

• Great company events

Experience Requirements:

• Customer-obsessed

• Communicative

• Independent

• Analytical

• Collaborative

Other Requirements:

• Willingness to work in person in SF 5 days a week

• Passionate about working in AI, HR tech, or fast-paced startup environments

Responsibilities:

• Own customer onboarding, ensuring a seamless handoff from sales and strong initial adoption

• Serve as a trusted advisor to customers, helping them integrate Alex into their hiring processes

• Partner closely with Engineering and Sales to communicate customer feedback and influence product roadmap priorities

• Monitor account health, identify risks, and drive proactive retention and expansion efforts

• Work directly with founders and leadership, gaining exposure to all aspects of a fast-scaling AI startup

Benefits:

• Health, dental, and vision insurance

• 401(k)

• Unlimited PTO

• Company-sponsored lunches

• Great company events

Experience Requirements:

• Disciplined

• Results-oriented

• Productive

• An effective communicator

• Independent

Other Requirements:

• Genuinely interested in AI technologies or the hiring space

• Willingness to work in person in SF 5 days a week

Responsibilities:

• Lead generation, qualification, and booking demos: Proactively identify, engage, and book demos with potential customers through various channels such as phone calls, emails, social media, our website, and in-person networking events

• Sales content: Develop and maintain sales enablement resources like decks, prospecting templates, and call scripts

• Performance Tracking: Monitor and report on lead generation and qualification metrics, and adjust our data-driven sales strategies based on market reaction

• Collaboration: Work closely with founders and engineers to develop and refine outreach strategies and messaging based on product development and customer feedback

• Market Research: Research the market to stay up-to-date and conduct need-based customer segmentation

Benefits:

• Health insurance

• Unlimited PTO

• Company lunches

• Great company events

• Competitive salary and equity

Experience Requirements:

• Productive

• Independent

• Organized

• Results-oriented

• An effective communicator

Other Requirements:

• Genuinely interested in AI technologies or the hiring space

• Willingness to work in person in SF daily

Responsibilities:

• Organize product development: Orchestrate between stakeholders, internal and external, to ensure product is developing across the right vectors

• Maximize velocity: Ensure product velocity is at a maximum

• Strategize roadmap: Own product roadmap and ensure leadership direction is within the roadmap

• Love our customers: Listen to customers daily and get feedback on new products to fold into next releases

• Collaborate across the company: Work closely with the founders, engineers, sales, and customer success to develop and refine our product suite

Benefits:

• Offers Equity

• medical

• dental

• vision

• Lunch stipend

Experience Requirements:

• 2–5+ years experience in Customer Success, Account Management, or Sales roles

Other Requirements:

• Strong communicator

• Comfortable in live calls, product walkthroughs, and upsell conversations

• Analytical

• Worked in fast-paced environments where you wore multiple hats

• Based in SF or open to relocating

Responsibilities:

• Own adoption, expansion, and retention of Juicebox’s Agent product

• Deliver live customer onboarding, training, and usage reviews

• Identify upsell opportunities and partner with Sales to close them

• Help customers integrate Agents into their sourcing workflows

• Proactively surface product feedback, usage gaps, and new feature needs

Benefits:

• Offers Equity

Experience Requirements:

• 1–3+ years of experience in support engineering, product ops, or customer support at a SaaS company

Other Requirements:

• Clear and calm communicator

• Curious and scrappy

• Can balance fast response times with thoughtful root cause analysis

• Organized, proactive, and comfortable coordinating across functions

• Based in SF or open to relocating

Responsibilities:

• Respond to incoming support tickets and product questions

• Investigate live issues, replicate bugs, and gather technical details

• Create well-scoped bug reports with context, repro steps, and priority guidance

• Partner with engineering and product to coordinate resolution and track progress

• Follow up with users once fixes or workarounds are in place