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Onyx

Technical Lead, Frontend

Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.

engineeringonsiteSan Francisco, US
$200K - $400K
full-time

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

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Onyx

Machine Learning Engineer

Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.

scienceonsiteSan Francisco, US
$150K - $250K
full-time

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

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Onyx

Fullstack Engineer

Onyx is an AI platform for work that enables teams to research, create, and automate using LLMs, powered by their unique knowledge base.

engineeringonsiteSan Francisco, US
$150K - $400K
full-time

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

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Sonic-3

Product Manager, Voice Agents

Sonic-3 is the only streaming text-to-speech model that laughs, emotes, and pulls you into the conversation with breakthrough naturalness and ultra-low latency.

productonsiteSan Francisco, US
$200K - $270K
full-time

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

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Sonic-3

Cluster Infrastructure Engineer

Sonic-3 is the only streaming text-to-speech model that laughs, emotes, and pulls you into the conversation with breakthrough naturalness and ultra-low latency.

engineeringonsiteSan Francisco, US
$180K - $275K
full-time

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

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Pickaxe

Full Stack Engineer

Pickaxe is a simple, no-code platform to build, launch, and sell custom AI products, allowing users to train AI on their own data.

engineeringonsiteSan Francisco
$100,000 USD - $160,000 USD
full-time

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

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Alex

Customer Success Manager

Alex is an autonomous AI recruiter that automates interviewing and recruiting with live, two-way conversations to help companies hire better.

operationsonsiteSan Francisco
$100K - $200K
full-time

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

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Alex

Product Manager

Alex is an autonomous AI recruiter that automates interviewing and recruiting with live, two-way conversations to help companies hire better.

productonsiteSan Franciscofull-time

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

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Alex

SDR

Alex is an autonomous AI recruiter that automates interviewing and recruiting with live, two-way conversations to help companies hire better.

salesonsiteSan Franciscofull-time

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

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Juicebox

Account Executive

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

salesonsiteSan Francisco, US
$180K - $250K
full-time

Benefits:

  • Offers Equity

  • medical

  • dental

  • vision

  • Lunch stipend

Experience Requirements:

  • Experience closing ACVs of $10K - $50K

  • 2+ years experience in SaaS sales

  • Track record of exceeding quota

Other Requirements:

  • Located in or willing to relocate to SF

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Juicebox

Founding Recruiter

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

recruitingonsiteSan Francisco, US
$130K - $210K
full-time

Benefits:

  • Offers Equity

  • Medical

  • dental

  • vision

  • Lunch stipend

Experience Requirements:

  • 5+ years of experience recruiting for technical and non-technical roles (either in-house or agency)

Other Requirements:

  • Strong personal brand in the recruiting community

  • Excellent written and verbal communication

  • Thrive in fast-paced, zero-to-one environments

  • Care deeply about quality and candidate experience

  • Excited to work in-office 5 days a week with the team in SF

Responsibilities:

  • Help build out our team across both technical and non-technical roles

  • Play a visible role in shaping the future of recruiting itself

  • Help shape how we show up externally, through content, community, and candidate experience

  • Create the systems, tooling, and standards that define how Juicebox hires from scratch

  • Partner directly with product and engineering to make our recruiter-facing AI even better

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Juicebox

Software Engineer

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

engineeringonsiteSan Francisco, US
$160K - $220K
full-time

Benefits:

  • Offers Equity

Experience Requirements:

  • Built something from scratch — a startup, project, or feature

  • Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

  • Enjoy working hard and owning projects

  • Hands-on, move fast, and learn best by building

  • Shown excellence

  • Take asymmetric bets

Responsibilities:

  • Play a key role in engineering decisions

  • Work closely with the founders

  • Design, build, and ship product features from end to end

  • Optimize the ranking of our profile results

  • Add new filters or data sources to our search engine

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Juicebox

Senior Software Engineer

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

engineeringonsiteSan Francisco, US
$180K - $270K
full-time

Benefits:

  • Offers Equity

Experience Requirements:

  • Built something from scratch — a startup, project, or feature

  • Some experience with the core of our stack: Next.js, AWS, etc.

Other Requirements:

  • Enjoy working hard and owning projects

  • Hands-on, move fast, and learn best by building

  • Shown excellence

  • Take asymmetric bets

Responsibilities:

  • Play a key role in engineering decisions

  • Work closely with the founders

  • Design, build, and ship product features from end to end

  • Optimize the ranking of our profile results

  • Add new filters or data sources to our search engine

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Juicebox

Founding Product Designer

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

designonsiteSan Francisco, US
$160K - $240K
full-time

Benefits:

  • Offers Equity

Experience Requirements:

  • Built something from scratch — a startup, project, or feature

  • Designed user-facing product features (ideally B2B or B2C SaaS)

  • Expert in Figma

Other Requirements:

  • Enjoy working hard and owning projects

  • Shown excellence

  • Take asymmetric bets

Responsibilities:

  • Ownership over UX and UI across the entire product

  • Tackle questions like how to delight our users in the first 5 minutes of signing up to Juicebox?

  • Tackle questions like how to maximize user visibility for our agentic workflows?

  • Own product features end to end

  • Shape and own the overall Juicebox design language

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Juicebox

Product Specialist (Support)

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

operationsonsiteSan Francisco, US
$100K - $140K
full-time

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

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Juicebox

Customer Success Manager, Agents

Juicebox is the AI Recruiting Platform that understands who you're looking for. Level up your team with Search, CRM, and Agents.

operationsonsiteSan Francisco, US
$140K - $220K
full-time

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

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Flow

Technical Support Engineer

Flow is a voice-to-text AI that transforms speech into clear, polished writing in any application across Mac, Windows, and iPhone, enabling faster communication.

operationsonsiteSan Francisco, US
$50K - $80K
full-time

Benefits:

  • Generous equity grant

  • 401k matching

  • Relocation bonus

  • Health, vision, dental insurance

Experience Requirements:

  • 1–2 years in customer-facing roles (retail, hospitality, call center, support, etc.)

  • experience with ticketing systems (Zendesk, Intercom, Freshdesk, Pylon, etc.)

Other Requirements:

  • Adrenaline-fueled work ethic

  • Resilience

  • Efficiency-obsessed

  • Clear communicator

  • Curious and coachable

  • Team-oriented

Responsibilities:

  • Tackle incoming support tickets at volume — from the simple to the complex — with speed and accuracy

  • Escalate when needed, but always with crisp documentation that makes the next person’s job easier

  • Keep the queue flowing — no backlog, no bottlenecks, no excuses

  • Constantly refine your own efficiency: shortcuts, templates, smarter notes, faster workflows

  • Provide clear, empathetic, professional communication to every customer and team member

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Flow

Senior Software Engineer

Flow is a voice-to-text AI that transforms speech into clear, polished writing in any application across Mac, Windows, and iPhone, enabling faster communication.

engineeringonsiteSan Francisco, US
$150K - $240K
full-time

Benefits:

  • Generous equity grant

  • 401k matching

  • Relocation bonus

  • Health, vision, dental insurance

Experience Requirements:

  • Previous founding or startup experience

  • Fluency in Typescript, React, and Python

  • User-focused design intuition and design taste

  • Attention to detail and eagerness to learn

  • Aptitude and clarity of thought

Responsibilities:

  • prototyping and designing new features of our voice interface

  • building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

  • scaling the personalization of our speech models and LLMs

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Flow

Staff Software Engineer

Flow is a voice-to-text AI that transforms speech into clear, polished writing in any application across Mac, Windows, and iPhone, enabling faster communication.

engineeringonsiteSan Francisco, US
$240K - $320K
full-time

Benefits:

  • Generous equity grant

  • 401k matching

  • Relocation bonus

  • Health, vision, dental insurance

Experience Requirements:

  • Previous founding or startup experience

  • Fluency in Typescript, React, and Python

  • User-focused design intuition and design taste

  • Attention to detail and eagerness to learn

  • Aptitude and clarity of thought

Responsibilities:

  • prototyping and designing new features of our voice interface

  • building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

  • scaling the personalization of our speech models and LLMs

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Flow

VP Engineering

Flow is a voice-to-text AI that transforms speech into clear, polished writing in any application across Mac, Windows, and iPhone, enabling faster communication.

engineeringonsiteSan Francisco, US
$250K - $330K
full-time

Benefits:

  • Generous equity grant

  • 401k matching

  • Relocation bonus

  • Health, vision, dental insurance

Experience Requirements:

  • Experience building and scaling teams from 20 to 100 people

  • Cultural alignment with Wispr: high agency, open communicator, detail oriented, and user obsessed

  • Can build a culture that’s thoughtful, aggressive, innovative on the eng team

  • Able to increase the velocity and predictable delivery of an engineering team

  • Product minded for a prosumer interface

Responsibilities:

  • direct the engineering team in building the first capable, habit forming voice interface that scales to a billion users

  • help scale the product engineering, mobile, backend, and ML engineering teams from 10 to 100 people

  • prototyping and designing new features of our voice interface

  • building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world

  • scaling the personalization of our speech models and LLMs

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