UnicornSourcers

UnicornSourcers specializes in sourcing and recruiting unicorn candidates for early stage unicorn startups and public companies alike. We are a team of ex-Amazonians who are passionate to help tech startups and their leaders reach their hiring goals.

I am currently hiring for various startups (Seed through Series C ) in San Francisco, Bay Area & NY for the following roles:
Head of Engineering 
Engineering Managers
Sr Backend Engineer -Data
Staff Front End Engineer
Machine Learning Engineers
Sr Staff Software Engineers
Full Stack Engineers

Connect with me on Linkedin.
www.unicornsourcers.com

Talent Advisor & Founder (Hiring for early stage startups)

Amazon Web Services (AWS)

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

Helping build the AWS Database Analytics teams in the U.S. We are helping our clients virtualize their data and move to a more efficient standard of information storage. If you are passionate about building out large scale complex systems on the back end and are eager to learn please reach out and I would love to share more! 

Learn more about EMR : https://aws.amazon.com/emr

Our 5 products include:

EMR - Glue - Redshift - Athena - Elastic search

Currently hiring for EMR & Athena!!
https://aws.amazon.com/careers/

Sr Technical Recruiter

Merit

Merit is the only interoperable ecosystem for all digital credentials, memberships, and opportunities from trusted organizations. Spanning governments, tech companies, organizations, and individuals, Merit works with everyone. A digital wallet for all your credentials.At Merit, we believe the world would get bigger if you didn’t always have to prove the trusted credentials you’ve earned. 

We’re a team of mission-driven people who care about using technology to create more opportunities for people to thrive. If you have the same passion to make a difference, we’d love to meet you.

Always looking to hire Backend, Front End, Platform, Data, Dev-Ops, Mobile and QA Engineers. Engineering Leadership roles, Data Scientist, Product and Technical Program Managers.

Sr Technical Recruiter - Engineering, Data and Product

Talentum, Inc.

Talentum aims at levelling the tech hiring play field between early stage enterprise infrastructure companies and the Goliaths of silicon valley.We have helped early stage startups build engineering teams that compete with the best of the best.We focus on low volume and high touch enabling us to deliver strong results.

Some of the roles I have successfully closed and hired.
*Head of Engineering, VP and Director of Engineering, Engineering Managers, VP-Data Science, Data Engineers,Machine Learning Engineers.
*Software Engineers-Backend, Frontend, FullStack, Infra, Dev-Ops, QA Automation etc
*Verification, RTL Design, Hardware Engineers.
*Worked for over 40+ high growth silicon valley startups. The portfolio of tech startups I've worked in the past- Clumio, Cohesity, CloudSimple (acquired by Google), Exabeam, Lacework, Netskope, Qventus, Fungible, Appzen, Stockpile, Addepar, Bitmain, WorkSpan, Theranos etc

Lead Talent Advisor - Early Stage Startups- Engineering, Data & Product.

sevenmirror.com

sevenMirror.com, a Web 2.0 technology early stage start up, enabling social networking for local communities.SevenMirror.com helps leasing offices in apartment communities to engage with the residents.The aim is to increase the quality of residents experience thus increasing retention.

As a full cycle recruiter my responsibilities include sourcing, researching, interviewing, screening, reference checks, negotiating offers, closing candidates, and offer generation. 
As a Business Development Manager I had the privilege of working closely with Product, Sales and Marketing team in the US.

Technical Recruiter and Business Development Manager

Darshna Garg (she/her)

Darshna Gupta

Zichao (Ziliver Yuan) Yuan

Harshil Shah

At Assort Health, we have developed the first generative AI call center built for healthcare. Our long term goal is to make exceptional healthcare accessible anytime, anywhere, for everyone.Unfortunately, the high costs of scaling and maintaining call center operations and administrative staffing within healthcare are often passed down to the patient. We solve this problem leveraging the latest advances in machine learning to build an AI-powered contact center platform for healthcare.We have PMF, paying customers, and a huge pipeline of inbound customers that we plan to onboard this year. We're supported by a top-tier institutional lead investors like <a target="_blank" rel="noopener noreferrer nofollow" href="https://quiet.com/">Quiet Capital</a>, as well as several angels, including the former CMO of Flatiron Health and board director of Athena Health, and the founders of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.infinitus.ai/">Infinitus</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://mercury.com/">Mercury</a>, <a target="_blank" rel="noopener noreferrer nofollow" href="https://mammoth.bio/">Mammoth Biosciences</a>, and <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.pathai.com/">PathAI</a>. If you're interested, you'll also have the opportunity to meet them!

Co-Founder, CEO

Assort Health

We are seeking a highly skilled and motivated first hire and founding engineer to join our team and help build our startup from the ground up.

As a founding engineer, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats and build build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset. 

You will work on the forefront of technology, utilizing generative AI and audio innovations that have only become available in the past few months. 

As time goes on, you will develop into a player-coach, not only contributing to the construction of our technology from the beginning, but also mentoring those around you and leading a world-class team that you build.

We are well-funded and offer competitive compensation, generous equity, and standard health benefits.

 Co-Founder, CEO

Founding Engineer

Certain Visa Sponsorship such as H1B transfer and TN available

We can only support certain visas like H1B transfer and TN visa only if they're on the path to a green card

This job requires in-person work in San Francisco. Candidates must currently live in or be willing to relocate to San Francisco within 8 weeks of being hired (we will provide a stipend for relocation).

Jay Z

Jenny L.

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, in close collaboration with our deep learning team.

We are looking for engineers who want to build highly-scalable infrastructure to enable previously impossible machine learning results.

co-founder & CEO

Staff Full Stack Engineer

Visa sponsorship available (limited to exceptional candidates)

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

Lily Kuang

Whalesync makes data syncing easy. Our automation platform syncs data between key business tools like HubSpot and Airtable. We give developers and ops teams two-way, real-time sync, so they can build production-ready workflows. This makes it easy to manage things like customer data, marketing campaigns, and blog content spread across their SaaS applications without needing to hire software engineers and build a data pipeline

Co-founder

Whalesync

Whalesync is a no-code data automation platform that lets you sync data across key business tools like Airtable and HubSpot.

Real-time, bi-directional data syncing across an infinite number of tools is a hard technical problem. Offering this in a way that’s simple and accessible is an equally hard design problem.

We’re looking for someone who is excited by this challenge and the potential impact we can make if we do this right. You’re a product-minded engineer who thrives in a highly autonomous environment. Shipping fast and building awesome things brings you joy.



Full-Stack Software Engineer

We are unable to provide visa sponsorship at this time

Workday must overlap by at least 5 hours with San Francisco, CA, USA

Mengdi H.

Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.

Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.

We've recently raised $28M.

Talent and Ops

Magic AI

Code completion that operates across your repository. Magic helps you edit code across your entire repository.

For decades, technology has been just a tool. Soon, it will be your partner. What if you had a colleague inside your computer? We're working on fundamental research challenges to make this possible.

As a Software Engineer on our core ML team, you will work on building internet-scale multimodal datasets. You will be responsible for working on petabyte-scale internet crawls, audio and video data, as well as small high-quality datasets.

Software Engineer - LLM Dataset

We can sponsor visas for the right candidate

Dominick DeLucia

Latent Studio makes the creation of professional quality product photos 10x cheaper & faster for e-commerce businesses and DTC brands through the use of text-to-image diffusion models, controlnets, LoRAs, upscalers, and other proprietary machine learning models. We’ve raised $3.4mm in funding from investors like Hack VC, Soma Capital, and Pioneer Fund.

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them!

Commercial photography is undergoing massive change. Using Latent Studio, any business can  conduct a professional photoshoot workflow from their computer, produce images that match the quality of those used by the biggest brands in the world, and scale their content creation process at virtually zero marginal cost.

Latent Studio (YC S20)

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them in this role!


Machine Learning Researcher

We are willing to sponsor visas if the candidate is truly exceptional

Wendy Ran Wei

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.

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