Hedgy

Co-Founder

Founded in 1996, Altos Ventures is a technology investment firm based in Silicon Valley. Through patient and pragmatic investing, Altos partners with early to growth stage technology companies operating in consumer and enterprise sectors, with the goal of building durable and compounding businesses over decades. As a registered investment advisor (RIA) with the SEC, Altos has a uniquely flexible, long-term, and concentrated approach to venture capital, supporting the full lifecycle of companies from inception to global growth and profitability. For more information, please refer to www.altos.vc.

Altos Ventures

Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. The traditional real estate process is broken and our goal is simple: fix it. We are building a digital, end-to-end customer experience that makes buying and selling a home simple, certain, and fast. We have assembled a dedicated team with diverse backgrounds to support more than 250,000 customer transactions across 50 markets in the U.S.   But the work is far from over. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight-knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.

So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. 

For more information, please visit www.opendoor.com

Keep up with latest Opendoor news and reports: https://linktr.ee/opendoorhq

Opendoor

Product

Rival is building a platform for the most coveted live events on the planet. We are a technology company powered by an exceptional team of engineers, product managers and designers, bringing experiences

Rival Inc

More than one billion people around the world use Instagram, and we’re proud to be bringing them closer to the people and things they love. Instagram inspires people to see the world differently, discover new interests, and express themselves.

Since launching in 2010, our community has grown at a rapid pace. Our teams are growing fast, too, and we’re looking for talent across engineering, product management, design, research, analytics, technical program management, operations, and more. In addition to our headquarters in Menlo Park, we have thriving offices in New York City and San Francisco where teams are doing impactful work every day.

Instagram

At Akamai, we make life better for billions of people, billions of times a day.   Every day, billions of people around the world connect with their favorite brands to shop online, play the latest video games, log into

Google

Emerging Products

Cleveland Guardians 

Strategy & Analytics

Steven Shin

Deployment Strategist needed in SF. On-site, 5 days/week. Must have technical background, resonate with tech teams, 4+ YOE, client-facing skills. Ex-founders preferred. Top 20 university degree required. Handle 10-15 customers, work with EPD, passion for AI. Visa sponsorship available. Salary: $150K-$220K.

Kristin Choe

Ravish Agrawal

Arjun Patel

Decagon builds AI support experiences for large enterprises and fast growing startups like Eventbrite, ClassPass, Substack, Rippling, BILT, etcWe're backed by world-class investors like a16z, Accel, and BCV

Decagon

Decagon is hiring Deployment Strategists. This role is critical to shaping how we work with, learn from, and best serve our customers. Our ideal candidate has an entrepreneurial mindset, strong technical acumen, ability to earn customer love, and passion for AI.You will develop expertise in understanding customer pain points, be at the forefront of applying AI to large-scale problems, and work with our engineering team to build the products and features that best serve customer needs.Ex-founders and aspiring founders are great fits for this role.

Deployment Strategist

Build machine learning systems for AI-driven capital allocation. Must have strong AI idea generation history, exceptional engineering skills, top school background (Stanford, CMU, Harvard), and fluency in English. Located in San Francisco, hybrid work model, visa sponsorship available. Salary: $150K-$250K.

Ilene Chui

Ben Klingher

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build the machine learning systems that power our general artificial intelligence for capital allocation. We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

Applied AI Researcher

Visa sponsorship available to exceptional candidates that don't have work rights in the US

On-site in SF, 5 days/week. Hands-on technical builder needed. Must work with APIs, databases, SQL, Postman. Experience from top 25 US/CAN school, startup background preferred. Customer interfacing and tech product building experience required. Visa sponsorship available. Salary: 90-160K. High ownership, attention to detail crucial.

Mateo Osorio

David Koenitzer

We’re modernizing construction, a $12T global industry run by siloed software built 20-40 years ago (on-prem, no APIs, no mobile access, etc.). We connect these systems by building proprietary APIs and wrapping them in a modern UI for automating work.Construction Software Companies use our API to integrate their apps with these systems. Construction Companies use our UI to automate work, like keeping financial data in sync between field teams on jobsites and accounting teams in an office. We save both time and money, making them more productive and profitable.Our founding team has worked together for 10 years, first at Graphiq (acq. by Amazon) then at Amazon. We've raised $3M from YC, Accel, and leaders from Plaid, Procore, Autodesk, PlanGrid, Aconex, and more.These slides explain our company and market: <a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/presentation/d/1VIRjj0W8wISEqM2IjPsg2-7carWSw-35GlC4ROTXXkU/edit?usp=sharing">https://docs.google.com/presentation/d/1VIRjj0W8wISEqM2IjPsg2-7carWSw-35GlC4ROTXXkU/edit?usp=sharing</a>.

Agave (YC W22)

Hands-on, technical builder to own our system integrations and customer implementations. You will need to embody opposite traits. On one hand, diving deep into the technical nuances of source systems, building data models, and translating complex business logic to our engineers. On the other hand, working 1:1 with customers to define their requirements, onboard them, run demo meetings, negotiate deliverables, and more. You will interface daily between our engineers, customers, and partners (the systems we integrate with).

Details: https://docs.google.com/presentation/d/1VIRjj0W8wISEqM2IjPsg2-7carWSw-35GlC4ROTXXkU/edit#slide=id.g11fbbbdf46f_1_0

Technical Product Manager

Founding Technical Product Owner
$75K - $150K / 0.10% - 0.25%
Location
San Francisco, CA, US
Job Type
Full-time
Experience
1+ years
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Tom Reno
Tom Reno
Founder
About the role
tl;dr: needed ASAP - a hands-on, technical builder to own our system integrations and customer implementations. You will need to embody opposite traits. On one hand, diving deep into the technical nuances of source systems, building data models, and translating complex business logic to our engineers. On the other hand, working 1:1 with customers to define their requirements, onboard them, run demo meetings, negotiate deliverables, and more. You will interface daily between our engineers, customers, and partners (the systems we integrate with). Since we're early stage, we expect you to be a strong generalist, helping us meet product, solutions engineering, and customer success needs outside of your core role. No need to have familiarity with construction.

WHY JOIN US
Opportunity: you have the chance to be an early, pivotal member of a fast-growing YC startup modernizing one of the world's largest and most critical industries (construction). You'll work with our world-class engineers to deliver and expand our core product.
Team: you'll work with a formidable founding team that's experienced, intense, and ambitious. We've worked together for 10 years, first at a startup that Amazon acquired, then at Amazon, and now at Agave. You'll learn a ton while having outsized ownership.
Timing: you're joining at a key inflection point. We're proven (we've grown revenue 3x year over year, have 85+ customers) but also early. This means you have lower risk but also huge upside.
RESPONSIBILITIES
Investigate new source systems to integrate with (data models, business logic, APIs, etc.) and become our go-to subject matter expert on each. It’s part product, part data analysis, and part archeology.
Research and define the structure for new data models we launch (schemas, interrelations with other models, how to standardize each across dozens of systems, etc.).
Write detailed documentation (e.g. runbooks, FAQs) explaining source systems, data models, and API features for internal reference and for our customers to use self-service.
Troubleshoot ad hoc issues with integrations and data models, helping our software engineers debug and resolve errors, and unblock our customers from launches and expansions.
Build and own customer and partner relationships. Work end to end with both software startups and construction companies, from sales/demos to scoping requirements, from onboarding to roll-out.
Translate customer needs to detailed product requirements our software engineers can code against.
Assist sales team in customer demos, showing product functionality, refining customer requirements, and driving toward winning their business.
No need to have: prior experience with Construction or at B2B SaaS/dev tools companies
REQUIREMENTS
Hands-on: you'll be a full-time builder, not a manager. You must love operating in the messy weeds of nuanced systems, understanding their complexity and simplifying it for our customers. You will focus on product execution and delivery, less on strategy and market research.
Technical: no need to code, but you must have at least 1 year experience working closely with APIs, databases, SQL, Postman, and similar tools. The more, the better.
1+ year experience in software: at least 1 year of full-time experience working for a software company in a data analyst, product, or other technical role. We’re open to exceptional new grads with substantive internships. We want someone hungry and has lots of room to grow, who's ready to roll-up their sleeves and operate in the trenches.
High ownership + conscientiousness: able to manage many threads at once without sacrificing quality.
Meticulous attention to detail: structured thinker who nerds-out on nuances, accounts for edge cases, and tests your work thoroughly before calling it done.
Clear + concise communication: oral and written, must love writing crisp docs for internal + external reference.
Uncanny ability to deliver results: get the job done consistently, doing any task needed to deliver on time.
Comfortable wth customers: able to work with a wide range of customers, spanning software engineers at startups to CFOs at specialty contractors. Can onboard new customers, run demo meetings, negotiate timelines, and communicate clearly over Slack, Zoom, and email.
In-person: pumped to work in-person in SF 5 days per week.
Nice to have:
Experience interfacing with customers (e.g. running user interviews, demoing SaaS products).
Experience building technical products (e.g. APIs, developer tools) alongside software engineers and shipping products on tight timelines.
Knowledge of basic accounting, since many of our use-cases relate to automating financial workflows.
BENEFITS
Healthcare: we cover 90% of your healthcare costs with several plan options.
401k: we match 100% of your contributions, up to 4% of annual salary.
Workspace: $1,500 to spend on items like chairs, desks, monitors, etc.
Relocation: sizable relocation bonus for folks currently located outside of the Bay Area.
Gym: on-site gym with Peloton, squat rack, Tempo, Yoga setup, and more.
Visa: we sponsor Visas (H1B, TN, etc.) for candidates who are a good fit!
About the interview
At each stage, we decide and update you within 24hrs:

Intro (15min.) [Virtual]: informal chat for you to learn more about the role. We'll ask for details on your past projects and what you're looking for next. We want to know that you meet our basic requirements and can speak about your work clearly. You’re welcome to ask lots of questions about whether working at Agave makes sense for you.
Writing Exercise (30min.) [Virtual]: we provide a short prompt that you reply to in a Google Doc. Our goal is to quickly decide whether you can write clearly, with minimum time investment required from you.
Experience (30min.) [Virtual]: we'll dive into the details of your recent work experience, asking questions to learn about what you've done. Our goal is to ensure you've worked on sufficiently complex projects to confirm you'll be successful if you join us full-time. We'll also reserve 10min to answer any questions you have about Agave.
Case Study (60min.) [Virtual]: we'll provide a product-related case study that you'll prepare asynchronously. You'll submit your response and we'll review it with you on a 60min call.
On-site (60min. x 5 people) [In-Person in SF, we pay for travel]: you'll interview with each co-founder and our lead dev. This will be a deeper dive into your experience, technical fluency, and overall fit. Each interview is 1hr, 45min for our questions and 15min for yours.
About Agave
We build data infrastructure (APIs, financial automation) for construction, an unsexy-but-huge ($12T) industry. We help construction software companies integrate with the fragmented and old software that runs construction globally using our API. We help construction companies automate manual work in a no-code interface powered by our own API.

Our founding team has worked together for 10 years, first at Graphiq (acq. by Amazon) then at Amazon. We've raised $3M from YC, Accel, the founders of Plaid, and execs at Procore, Autodesk, PlanGrid, and Aconex.

Visa: we sponsor Visas (H1B, TN, etc.) for candidates who are a good fit!

In-person: pumped to work in-person in SF 5 days per week.

Applied Research Engineer in SF, on-site 5 days/week. Must love teamwork, video AI, and have GitHub or project showcase. Strong Python, ML/Deep learning skills. Translate customer needs into product improvements. Experience in scrappy startups preferred. Visa sponsorship available. Salary: $120K-$225K.

<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sievedata.com/">Sieve</a> is an AI compute platform for video. Our goal is to build useful primitives to understand, manipulate, and create video so we can accelerate all applications of it.Today, video makes up over <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.socialpilot.co/blog/video-marketing-statistics">82% of internet traffic</a> and every application of it is growing extremely quickly — media, communications, VR, gaming, robotics, automotive, etc. TikTok went from 0 → 2B users in the last decade. Video conferencing is used many times a day by every knowledge worker. <a target="_blank" rel="noopener noreferrer nofollow" href="https://deepmind.google/technologies/veo/veo-2/">Google’s Veo 2 model</a> generates physically realistic video. Waymo now has <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.thedriverlessdigest.com/p/waymos-market-share-is-now-equal">more market share than Lyft</a> in SF ride share. Tesla is scaling humanoid robots.As these applications grow, the need to process video grows too. But unlike other data types, video is complex, and applications of it require purpose-built pipelines to tackle specific problems. Some examples:<ul><li>Translating videos with perfect voice timing + intonation and on-screen text manipulation</li><li>Tracking which person is actively speaking in a video</li><li>Collecting &amp; cleaning millions of highly emotive talk head video for foundation model training</li><li>Tracking eye gaze and exact emotion of people as they react</li><li>Separating the foreground and background of a high-motion video clip</li><li>Finding all the most interesting plays in a sports game recording</li></ul>At Sieve, we engineer production-grade pipelines to understand, manipulate, and create video — along with flexible abstractions to run custom pipelines. These pipelines already power core features in some of the most popular creative and social video platforms in the world, and are also helping research teams collect &amp; annotate large datasets to train better video models.Why developers use SieveThe unique complexity of video requires both R&amp;D and infrastructure that is intricate, expensive, and time-consuming to build in-house. Sieve comes with a set of production-grade pipelines engineering teams don’t need to worry about building or maintaining, along with infrastructure abstractions that make it easy to develop increasingly complex and specific video processing tasks on top.

Co-Founder, CEO

Sieve

Sieve is the AI developer platform for video. We build & manage production-grade pipelines that can understand, manipulate, and create it for a variety of applications. These pipelines serve as useful primitives which developers can then use to power their applications across industries like communications, social, media, robotics, and VR.

We're looking for an Applied Research Engineer to join our team in SF! This person will build <a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://www.sievedata.com/explore">pipelines</a> that understand, manipulate, and generate video. Often this involves working on ambiguous research problems and finding clever techniques to solve them. We're looking for people who are comfortable working with models and squeezing every drop of performance out of them through clever pre/post-processing, pipelining, inference optimization, and fine-tuning.

Applied Research Engineer

Forward Deployed Strategist in SF, on-site. Must have strong technical background, experience with enterprise accounts, great communication skills, and founder/senior startup experience. Responsibilities: manage complex deployments, engage with senior executives, ensure customer satisfaction. Visa sponsorship available. Salary starts at $150k. Backed by Founders Fund and OpenAI.

Vincent Huang

<a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://withforge.com/">Forge</a> automates the most complex manual human processes using AI for the world's largest companies. The product lets you use English to describe your complex processes, and Forge then executes those reliably at scale. Processes that used to take people multiple hours to do can now be done in a fraction of the time at better-than-human quality. Anything that a person can do on a computer can be done by Forge, given your English instructions.Founded in 2023 and backed by Founders Fund and OpenAI, we're a team of exceptional builders who are changing how the world will work.

Forge

We’re hiring for a Forward Deployed Strategist (JD + description <a target="_blank" rel="noopener noreferrer" href="https://in-the-forge.notion.site/Recruiter-Version-Forward-Deployed-Strategist-17e3f8e35a608034aad6fb6bafaaf8b4">here</a>) You will be inside large companies building great relationships (should enjoy talking to people and making magic happen), navigating complex situations, managing operational rollouts involving multiple parties and stakeholders of all levels, and will need to be able to dive into the details of how a specific part of the Forge automation can work.You should have some baseline technical background, but with significant experience navigating large enterprise customers and deals.You should have the ownership mentality to do whatever is required to get the work done, make the customer extremely happy, and push the company forward.Parts of the role:<ul><li>Manage and navigate complex organizations, handle multiple stakeholders, and make the customer extremely happy</li><li>Plan ahead and see around corners to ensure a smooth deployment with blockers mitigated and that key metrics are reached</li><li>Conduct extensive process mining with customers, breaking down complex ambiguous processes into precise, actionable steps</li><li>Work directly with customers to iterate on implementations and drive adoption</li><li>Scale deployments from initial pilot to full production volume and beyond</li><li>Define and document best practices that will shape how we deploy to future customers</li><li>Leverage your technical background to help build robust automations using our product</li></ul>

Forward Deployed Strategist

Operations & Growth Lead: Scale data collection team, design incentive systems, manage hardware deployment. Must excel in data analysis, system design, leadership. Thrive in ambiguity. Experience in AI/ML environments preferred. Location: Mountain View, CA. On-site, visa sponsorship available. Salary: $100K-$200K. High-growth opportunity in robotics innovation.

Oleksandra Pariy

We’re creating the home robots that make the lifestyle we’ve always dreamed of a reality. Imagine a future where robots give us back the hours we spend on repetitive tasks — time we can now dedicate to family, friends, and passions. A future where we can experience things we’ve never considered possible, from surrounding ourselves with thriving plants that never need watering to enjoying pets without the mess.Founded by two Stanford PhDs whose research shapes the frontier of robotics, we’re pushing boundaries to redefine what robots can do. Over the past 8 months, we’ve made significant strides in technology, secured funding, and built a talented team.Now, we’re looking for passionate and driven individuals to join us on this exciting journey. If you want to work at the forefront of robotics innovation and help shape a future we’ve only imagined — we’d love to hear from you.

Stealth Startup

As a Data Operations Lead, you will play a pivotal role in scaling our human data workforce, the Memory Team for our robot. This role involves recruiting and managing data collectors, designing payment incentives, and the deployment and onboarding of hardware for data collection. You’ll be responsible for building processes from 0 to 1 in a dynamic environment, balancing logistics, data quality control, and business development.This role is ideal for a generalist with 3+ years of experience in operations or logistics, preferably in early-stage or high-growth startups. You should have a strong work ethic, adaptability, and the ability to manage multiple functions simultaneously. Your contributions will be crucial in laying the foundation for our scalable operations.

Data Operations and Growth Lead

Our early-stage team operates out of a close-knit, garage-style workspace but is preparing to move into a larger office space in Mountain View in February. We work 12 hours / day.

Strategy & Operations Manager for Handshake's CEO office in San Francisco. Must have consumer marketplace experience, drive operations in R&D or GTM, and work with C-Suite. Highly analytical, comfortable with data, SQL, visualization tools. In-office Mon, Wed, Thu. No visa sponsorship. $170k-$200k. Hybrid work model.

Kyra D'Onofrio

Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week. Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.

Handshake

Handshake is hiring a Strategy &amp; Operations Manager to join the Office of the CEO. In this role you will be a critical business partner to our CEO in driving efficient and effective business operations, and leading key strategic initiatives that are critical for the business.Sitting at the intersection of strategy, product, and operations, this is a unique opportunity to gain a front-row seat to high-growth leadership and building a company.Responsibilities include... <ul><li>Support day-to-day operations to set CEO up for success for internal meetings and external engagements</li><li>Work hand-in-hand with C-Suite leaders and cross-functional teams to design and manage business-critical initiatives and operations</li><li>Lead analyses that help inform our short and long-term strategic outlook and decision-making, for example: competitive landscape analysis, customer and user product research, and synthesis of data and insights across the marketplace</li><li>Lead cross-functional projects across go-to-market, marketing, and product teams</li><li>Define and manage key company systems and operating processes that help us scale effectively, including leadership operations and management systems</li></ul>

Strategy & Operations Manager

In office 3 days per week - Mondays, Wednesdays and Thursdays

Backend + ML Engineer: Experience in training/evaluating models, web dev (interface building), Python, Pytorch/JAX. SF-based, on-site work trial. Must be fast, proactive, prioritize ruthlessly. Experience with LLMs, computer vision, CUDA a plus. Work with top brands, impact entertainment industry. Visa sponsorship available. Salary: $165K-$200K.

Kino AI is building tools and training models to organize video. We serve top movie and TV studios, and we make editing more productive and enjoyable.We're a deeply technical team from MIT, SpaceX, AWS and Citadel Securities. We're backed by Y Combinator, AI Grant, and many others.Kino currently has more demand than it can handle. We need more engineers, deeper integration within current firms, and added capabilities. We're very excited about this next phase!

Kino AI

Kino is building a next generation video organizer and editor. You will work on Kino’s two-fold approach:<ul><li>Retrieval from a massive corpus of client video (visual features, dialogue, people, events)</li><li>Generation of text descriptions, rough cuts, and fully-edited scenes from these retrieved moments</li></ul>You will incorporate principles of fields that have been around for a very long time: information retrieval, computer vision, NLP, and filmmaking.Our clients are top brands and media properties, whose footage is deeply important to them. These are exciting datasets to work with!

Backend + ML Engineer

We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)

This is a full-time, in-person opportunity in San Francisco. We're big believers in in-person culture! Relocation support for those moving to the Bay Area.  we just moved into our office in Chinatown, San Francisco. 

Strategic Partnerships Manager in San Francisco. On-site with visa sponsorship. Must have experience in fast-paced environments, data licensing, bilingual Korean/English, and partnership strategies. Drive U.S. market growth, build strategic relationships, lead GTM initiatives, and optimize partnerships. Bachelor's required; MBA preferred. Salary: $150K-$220K.

Liner is an AI-powered search engine tailored for students and researchers, helping millions of academics discover reliable information faster. Recognized by a16z as the 4th most used Gen AI product on the web, Liner merges the power of Large Language Models (LLMs) with a unique, trusted database of academic sources to enhance research. We’ve established partnerships with top universities, including UC Berkeley, USC, UC Davis, and Stanford, and are committed to empowering students and scholars worldwide.Over 10,000,000 users globally love Liner and it was recognized by a16z as the 4th most used Generative AI product on the web. We want to help more students and researchers access high-quality information easily, thus saving time during research.

Liner

About the RoleAs a Strategic Partnerships Manager, you will play a pivotal role in shaping the future of Liner’s growth in the U.S. market. This role is an opportunity to shape and expand Liner’s partnerships in the U.S. market, working cross-functionally to drive impactful collaborations, enhance our go-to-market strategies, and drive user growth. Your work will directly influence Liner’s ability to connect with millions of users, unlock new growth opportunities, and reinforce our position as a trusted AI-powered research tool..Key Responsibilities<ul><li>Strategize and Execute Partnership Roadmap:<ul><li>Develop and implement a comprehensive partnership strategy for the U.S. market, including co-marketing initiatives and the establishment of a scalable Partners Program. Identify and create new go-to-market opportunities to complement and enhance Liner’s business model.</li></ul></li><li>Build and Nurture Strategic Relationships:<ul><li>Forge joint value propositions with partners, executing co-sell campaigns and negotiating impactful agreements to unlock growth opportunities. Cultivate long-term partnerships that drive shared success and sustained business value.</li></ul></li><li>Lead Joint GTM Initiatives:<ul><li>Collaborate with partners to design and execute joint GTM plans, incorporating product co-development, demand-generation campaigns, and customer engagement strategies to achieve measurable outcomes.</li></ul></li><li>Optimize Partnership Performance:<ul><li>Establish and monitor KPIs to measure partnership success. Analyze metrics to refine strategies, ensuring alignment with organizational goals and maximizing ROI.</li></ul></li><li>Facilitate Cross-Functional Success:<ul><li>Partner with internal teams across Product, Engineering, and Go-to-Market functions to coordinate seamless launches of products, partnerships, and marketing initiatives.</li></ul></li><li>Stay Ahead with Market Insights:<ul><li>Monitor industry trends, competitor movements, and emerging technologies to identify innovative partnership opportunities and maintain a competitive edge for Liner.</li></ul></li><li>Empower Partner Success:<ul><li>Provide partners with the necessary tools, training, and resources to effectively promote and integrate Liner, ensuring mutual growth and adoption.</li></ul></li></ul>

Strategic Partnership Manager

In-person at our new office in San Francisco

Looking for an exceptional Operations Manager in SF. Must be an elite learner, never an EA/admin, recent grad, high "give a sh*t" factor. Serve as "mission control" for founders, manage calendars/logistics, handle confidential info, lead projects, and enhance culture. On-site, flexible hours. No visa sponsorship.

Curtis Chou

Paraform is a recruiting marketplace that connects companies with specialized, top-tier recruiters who can quickly fill open roles. By centralizing this process, we enable faster and more cost-effective hires—turning weeks or months into days. Companies gain flexible access to expert recruiting talent, while recruiters receive a steady flow of clients and work on their own terms.Incredible teams at the most exciting startups and enterprises are currently being built with Paraform. We’re backed by <a target="_blank" rel="noopener noreferrer nofollow" href="https://techcrunch.com/2024/04/15/paraform-a-recruiting-platform-that-connects-recruiters-and-startups-raises-funding/">top-tier investors</a> and have grown extremely fast in the past year. We see the future of recruiting as being fractional and powered by AI and believe we're best positioned to finally solve recruiting.Our customers include:<ul><li>Late stage businesses: Palantir, Ramp, Scale AI, Applied Intuition, Persona, Eight Sleep, Hightouch, Envoy etc.</li><li>AI companies: Decagon, Eleven Labs, Cursor, <a target="_blank" rel="noopener noreferrer nofollow" href="http://Character.ai">Character.ai</a>, Augment Code, Nooks, Cartesia, Replit etc.</li><li>Early stage: Slope, Pylon, Runway, Traba, Bland etc.</li></ul>

Co-founder 

Paraform

We're looking for an exceptional Executive Assistant to join us in scaling Paraform. This person will be “mission control” for Paraform’s leadership team, acting as a strategic partner by handling calendars and scheduling, making administrative tasks "disappear," and facilitating a space for the team to work at our best.

(archive) Executive Assistant

Unfortunately we cannot sponsor visas for this role.

Product Manager for Replo Editor. San Francisco, CA. Hybrid work. No visa sponsorship. Salary: $140K-$175K. Requirements: CS/STEM degree from top 25 university, B2B SaaS experience, high-growth startup exposure, technical product background, ecommerce/marketing tools familiarity. Responsibilities: Own product scope, define strategy, lead collaboration projects, conduct user research, collaborate with design/engineering, track success metrics.

Replo helps companies sell on the internet.We do this by helping teams automate performance marketing with data and AI agents.Today, companies on the internet spend a fortune trying to figure out the right audience, messaging, and experience to maximize revenue online.They spend 100s of hours digging through analytics tools, ad platforms, and spreadsheets every month, and $100,000+ on marketing agencies and developers.We think most of this can be automated in the next 4-5 years.We built Replo to analyze your online traffic, provide deep insights, test new ideas, and implement those strategies 10-100x faster. Instead of taking weeks to launch a new product online, all you'll need to do is give Replo a budget, a product, and a target market and we'll figure out the rest.

Replo

We're looking for a Product Manager to join our team and focus on our core product – the Replo Editor. This person will work closely with the design and engineering teams on critical features like collaboration, e-commerce enablement, and AI-supplemented workflows. You'll be responsible for ensuring the successful execution of these features, from conception to release, while maintaining a strong customer-centric approach.If you are passionate about creating tools that empower designers and marketers, this role might be perfect for you!

Product Manager

At this time, Replo is unfortunately unable to support employees on visas.

Full-stack Engineer in SF, hybrid 3 days/week, no visa sponsorship. Must have CS degree from top university, 3-6 years experience. Proficient in Typescript/React/Node. Experience with deployment issues, hackathons, fast-paced environments, and building products 0-1. Former founder or early-stage startup experience preferred. Salary: $120k-$250k.

Cody De La Vara

Replo helps companies sell on the internet. Today, our platform helps ecommerce businesses automate performance marketing with data and AI agents.Founded in 2021 by Yuxin Zhu and Noah Gilmore, we've experienced rapid growth, surpassing 1,000 paying customers in just six months.We are hiring a mid to senior/staff level full-stack engineer to join our team in-person 3 days/week in San Francisco and focus on shipping products.

Software Engineer (Full-Stack)

Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

Exa finds the exact content you're looking for on the web using embeddings-based search.

Exa has three core functionalities, surfaced through our API endpoints:

- Search for pages Find any pages on the web using a natural language query. If you still need it, Exa supports also supports Google-style keyword search.

- Get contents from pages Obtain clean, up-to-date, parsed HTML from Exa search results. Contents can be semantically targeted using our 'highlights' feature.

Find similar pages Based on a link, find and return pages that are similar in meaning.

- Exa's precise content retrieval supercharges RAG pipelines, automates hours of research, and creates high-quality datasets for a niche use-case.

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

ML Research Engineer

ML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteSan Francisco, CaliforniaEngineering /Full-Time /On-SiteAPPLY FOR THIS JOBAPPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a year$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBAPPLY FOR THIS JOBExa Labs Inc. 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