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

Altos Ventures

Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer

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 

Steven Shin

San Francisco-based Mana seeks exceptional engineers for building machine learning systems for AI-driven capital allocation. Must have top school credentials (e.g., Stanford, MIT), proven engineering skills, AI innovation history, and startup fit. Hybrid work, visa sponsorship available. Salary: $150k-$250k. Enthusiasm for Mana's mission essential.

Ilene E

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

Technical builder in SF, on-site 5 days/week. Must have top 25 US/CAN degree, startup experience, strong customer interfacing skills. Work closely with APIs, SQL, Postman. Own system integrations and customer implementations. Visa sponsorship available. Salary $90K-$160K. High attention to detail, clear communication required.

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.

Full-stack engineer in SF. Hybrid, no visa sponsorship. Must have CS degree from top university or similar, strong in Typescript/React/Node. Experience building 0-1 products, architecting software, and working in fast-paced environments. Former founder or startup experience a plus. Focus: product features, AI tools, integrations, payments.

Cody De La Vara

Replo helps companies sell on the internet.We do this by helping marketing teams automate building and testing customer journeys using data and AI.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

Replo helps companies sell more online. Today, our platform helps ecommerce businesses automate performance marketing with data and AI.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)

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

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

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