Chainalysis Inc. 

Recruiter

SignalFire 

Helping Founders (Pre-Seed/Seed) identify and hire top talent. Helped hire Founding Engineers (backend, front end, full-stack, ML Engineers and more)

peoplepath

Project Manager - RPO implementations. Work with Client, internal Leadership and a star studded team of recruiters to ensure a successful engagement. 

Senior Tech Recruiter Lead - work with pre-Seed/Seed and later stage Startups.
Built “trusted advisor” relationships with clients; understanding their business, culture, and talent acquisition needs as their SME for their talent strategy, providing consultative guidance and advice on recruitment best practices. Special focus on cutting-edge technology startups, including companies working on Generative AI.

Clients: SignalFire, Create, Noetica, Stripe, Chainalysis

Technical Sourcer/Project Manager

ELI Recruiting

Recruitment solutions for various clients:

Weee! (Series D): Led a team of 5 offshore sourcers. Reported to the Head of TA and helped build better recruitment processes. Recruited/Sourced for Operations, Finance, and Engineering (Soft Dev, Data Science). Roles ranged from HVAC technician to Warehouse manager to VP of Transportation.

Zipcar: Technical Recruiter

Plus various projects Automotive and OEM manufacturers in Mexico and Latam.

Owner/Lead Recruiter/Trainer

Pierpoint International

Talent Acquisition Specialist / Senior Recruiter - I work remotely for clients based in the US, Canada, Mexico and Latam. 

Clients Included:
MKS Instruments: Lasers! Laser and Optics Engineers, Opto mechanical technicians, Assembly line operators, calibration technicians 
Natus Medical (Neurology/Hearing and Balance/Newborn Care): R&D and Engineering roles, Field Service Technicians, Maintenance Technicians, Manager & Leadership roles
Microsoft: Premier Field Engineers, SEEs, SEs, TAMs, Cybersecurity and more

Tools used: Avature, iCIMS, Taleo, BrassRing, Workday, Greenhouse, Loxo, LinkedIn Recruiter, Talent Neuron, ContactOut, SeekOut, Hiretual/HireEZ, Interseller, Lusha, GEM, Data.com, Excel for reporting

Talent Acquisition Lead / Senior Technical Recruiter

Gustavo Güemes

Gustavo Romano Güemes

devang desai

Kevin Milhoan

What we do Our mission is to empower building materials suppliers with great technology. There are over $1,000,000,000,000 of building materials bought in the US every year, and many of these transactions happen in on-prem point-of-sale systems. We want to bring these transactions online, enabling better experiences for contractors and homeowners alike.What we stand for ⭐️The values we hold most dear are learning through feedback and experimentation, enjoying our time together, truly empathizing with clients (we've worked at paint stores &amp; lumber yards!), building a diverse team, and driving to achieve as fast as we can.How we've fundraised 💰We've raised $18m across three rounds:<ol><li>A $2m pre-seed led by <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.bvp.com/team/kent-bennett">Kent Bennett</a> at <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.bvp.com/">Bessemer</a> with participation from Plug &amp; Play, Quiet Capital, and Sequoia.</li><li>A $5m seed led by <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.crv.com/team/caitlin-bolnick-rellas">Caitlin Bolnick Rellas</a> at <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.crv.com/">CRV</a>.</li><li>An $11m series A led again by Bessemer and CRV.</li></ol>

Rundoo

This role is focused on empowering building materials suppliers with innovative technology to bring transactions online and enhance experiences for contractors and homeowners. The ideal candidate will make significant contributions to the software used by clients, introduce systems to improve team velocity, set and enforce engineering quality standards, mentor teammates, and collaborate with product and design teams to define project goals.

Backend Engineer (Go)

General
What we do 🪵

Our mission is to empower building materials suppliers with great technology. There are over $1,000,000,000,000 of building materials bought in the US every year, and many of these transactions happen in on-prem point-of-sale systems. We want to bring these transactions online, enabling better experiences for contractors and homeowners alike.

This Role
What you'll achieve with us 🥇

You'll make significant individual contributions that get used instantly & heavily by our clients who depend on our software to run their businesses.

You'll leverage your orthogonal expertise to introduce abstractions and systems that improve the team's velocity.

You'll raise the bar for engineering quality by setting and enforcing standards.

You'll mentor teammates to help them grow as architects & engineers.

You'll work closely with product & design teammates and our clients to collectively define what we're building.

Requirements ✅

You collaborate well with engineering teammates and cross-functionally—especially working through natural tension with designers and product managers.

You give positive & constructive in-the-moment feedback to your teammates and enjoy receiving the same.

You're excited to work at least a couple days a week in-person at our office in Redwood City.

You have worked as a software engineer for 5+ years.

You have written production backend software using Go.

Icing on the cake 🎂

You have worked in a fast-paced startup environment.

You have written frontend software using React and TypeScript.

You have familiarity with construction or building materials.

Interview process

Intro Call (15 min): Getting to know each other and aligning on expectations for the role with Nick.

Technical Screen (1 hour): Working through debugging and coding challenges with Andrew.

Onsite @ Redwood City HQ (~5 hours):

Walk (45 min): Diving into the business with Nick.

System Design (1 hour): Designing a system to address an abstract problem with George.

Lunch (45 min): Breaking bread with the team.

Product Collaboration (1 hour): Going back & forth on a PRD with Vidhan.

Culture (30 min): Reflecting on past experiences with Emmie.

Q&A (30 min): Answering your questions with Andrew.

Who we are
In alphabetical order:

Adam (Territory Account Executive): studied Communications at UConn (Go Huskies!) and worked as an AE at a large cloud software company (Box); a frequent at concerts around the greater NYC area in his spare time 🫡

Amanda (Recruiting & Operations); studied marketing at De La Salle University; worked in recruiting at a few startups; loves SCUBA diving! 🌊

Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)! 🩰

Gemma (Andrew's Bernedoodle): *fiercely protecting Andrew* 🐶

Andy (Territory Account Executive): studied Business Management at Oklahoma State University (Go Pokes); worked as an AE for large tech like Cisco System and small startups BeckTech and TrackStreet; do you need a 4th? ⛳️🏌🏼‍♂️

Brian (Engineering): studied computer science & applied math at NJIT and UC Davis; worked as an engineer at Google, Snap, and Common Networks; LoL player and Earthquakes fan ⚽

Luna (Brian's chocolate lab): *looking longingly at YB* 🦮

Claire (Client Success Lead): studied History at Dartmouth College; worked in Account Management and Customer Success at Yahoo, Outlier AI, and Persona; loves following women's sports and studying architecture 🏑🏡

Clara (Territory Account Executive): studied Literature at University College London; worked in GTM strategy for a feminine health tech startup in Paris and then came to the bay to work in sales for Verkada; often seen doing a headstand 🧘‍♀️

Daniel (Territory Account Executive: studied Biology at University of Washington, worked in sales in pharmaceuticals at Eli Lilly and in FinTech at PitchBook; often found playing volleyball 🏐

Emmie (Engineering): studied math & computer science at Stanford; worked as a software engineer at Flexport; loves confetti cake 🧁 and almond croissants 🥐

George (Engineering): studied computer science at Stanford; worked as a software engineer at Facebook; exclusively reacts on Slack with the shaka! 🤙

Joe (Director of Growth): studied math & computer science at Stanford; worked as a consultant at Bain & Company; has been pulled over for speeding on a bicycle but never in a car 🚴‍♂️

Jonathan (Implementation): studied Linguistics at Cedarville University; worked in SaaS implementation for startup Tekion; has flown over 100k miles in the last year 🛫

Jordan (Engineering intern): studying computer engineering at the University of Waterloo; worked at Rivian, IBM, and elsewhere; plays the saxophone professionally 🎷

Kyle (Territory Account Executive): Studied Anthropology and History at UNCW; Has been a seller for companies big and small, mostly in the Software space. Is self-taught in catching snakes barehanded🐍

Mango (Kyle's corgi): *demanding pets from everyone he meets* 🐾🥭

Lej (Implementation) working directly in the field of software for the last three years helping entrepreneurs and start-ups alike. Aspires to create a smart home environment similar to the one depicted in the 1999 Disney movie "Smart House."🎮

Matt (Territory Account Executive): studied history at Northwestern; taught middle school in Chicago (hardest job ever), more recently worked in sales and general management at a fishing tackle company (Catch Co.); former competitive angler in college (bass fishing 🎣)

Max (Product Manager): studied neuroscience at Dartmouth; worked as a consultant at Bain & Company and as a PM for RabbitHole; has broken his neck exactly one time (and coincidentally has tried parkour exactly one time 🤸‍♀️)

Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company 🍫

YB (Nick's Belgian Malinois): *looking longingly at Luna* 🐕

Noah (Product Designer): studied Art Practice at Stanford; worked as a Product Designer at several startups in consumer social; has too many hobbies including volleyball, pool, painting, gamedev, birdwatching, music, cooking, trivia, and sumo. 🎱

Rae (Territory Account Executive): Studied Business Management at University of Colorado; Worked as an account executive at Sumup; likely the only Colorado native who doesn't ski or snowboard. 💃🏻

Santiago (Engineering): studied computer engineering at University of Waterloo; worked as SWE intern at The Cooperators, Inflight, BitBakery, Replicant; played lots of soccer, loves rap and r&b 🎧

Tyler (Client Success): studied general education and tech at Cabrillo College; worked as a system administrator for a short time and at a paint store (Kings paint!!!) for eight years, manager for two; likes to play most video games, currently playing Diablo 4. 🕹

Umer (Engineering): studied computer science at National University of Singapore; worked as a SWE intern at Visa and an NLP chatbot startup; has an identical twin! 👯‍♂️

Vidhan (Product): studied Biomedical Engineering and Econ at Duke; Worked as a PM at Hinge Health and BuildZoom. Previously at Zenefits. Founder Urova Medical; 🍪

Waffle (Vidhan's Labradoodle): Stealing whatever food can be found 🐶

Zach (Design): studied product design at Stanford; worked in design at a few startups; currently wearing socks with cocktails on them! 🍹

What we stand for ⭐️

The values we hold most dear are learning through feedback and experimentation, enjoying our time together, truly empathizing with clients (we've worked at paint stores & lumber yards!), building a diverse team, and driving to achieve as fast as we can.

How we've fundraised 💰

We've raised $18m across three rounds:

A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.

A $5m seed led by Caitlin Bolnick Rellas at CRV.

An $11m series A led again by Bessemer and CRV.

Benefits 🩺

Medical, vision, and dental insurance with 100% premiums covered for you, 50% for dependents (~$5-6k/yr) 🏥🥸🦷

Daily lunch (~$4k/yr) 🥘

Learning materials and Coursera courses (~$1k/yr) 📚

Unlimited audiobooks via our team subscription to Libro ($500/yr) 🎧

Gym membership! (~$1200/yr) 💪

Unlimited PTO 🏖️

Betterment 401k 🏦

Dog-friendly office 🐶

And more! If you have ideas, let us know 🙂

Saahil Agrawal

Shashank Pathak

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations. Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.Hundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

VP of Engineering

Hightouch

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

Software Engineer, Machine Learning

URL:https://boards.greenhouse.io/hightouch/jobs/5155115004
Apply Now
Software Engineer, Machine Learning
(View all jobs)
Remote (North America)
About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About the Role

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

Some of the problems we’ll be working on include:

Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.

As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $250,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
Apply for this Job
* Required
First Name *
Last Name *
Email *
Phone
Resume/CV
Attach Dropbox Google Drive or enter manually
(File types: pdf, doc, docx, txt, rtf)
LinkedIn Profile *

Github

Are you currently located in North America? *

--
Powered by  
Read our Privacy Policy

Similar Recruiters

Start your search today.