Blackwell Search

Heavily drawing from previous projects/pipelines sourcing Core Engineers [Distributed Systems] at stealth startups Zycada, Vendia, and AWS and Amazon subsidiaries [4 years]
(i) I'm sourcing Distributed Systems Software Engineers for numerous clients, especially candidates with experience in system-level architecture
(ii) Sourcing for an early-stage startup focused on using AI for document management: The CEO is seeking a Principal Engineer with architecture experience using Neo4J, a Security Engineer, and a Product Designer to work directly with the Founder on UX design.

Technical Recruiter in Los Angeles for Distributed Systems Engineers [stealth startups]

Spanish for meditative and contemplating, Cogitativo was created with the purpose of thinking deeply about the issues affecting our healthcare system.   WE ARE A DIFFERENT KIND OF DATA SCIENCE

Cogitativo 

Partnered closely with CEO, Chief of Data Science, and VP of Engineering to deeply understand the engineering and executive leadership team’s hiring goals.
-Built a pipeline of Data Science leaders with expertise in deep learning and large healthcare datasets.

Recruiter for Deep Learning Scientists and Data Informaticist roles

Cogitativo empowers healthcare leaders to transform our systems of care and address their operating challenges through the application of market-leading data science solutions. We support leading commercial health plans, governmental institutions, and other health-related entities by providing them with deep operating expertise and world-class data science-enabled insights. We have completed over 100 data science engagements since 2015. These engagements have reduced healthcare waste and inefficiencies for more than 65M Americans.

Technical Recruiter for Data Engineering (Healthcare)

-Managed full-cycle recruiting for technical and executive hires, including sourcing and verifying passive candidates using a wide variety of online tools and sourcing techniques.
-Identified and attracted a diverse range of candidates and closely managed candidate experience.
-Curated inclusive recruiting experiences for senior candidates to increase interest and engagement.
-Built and tracked a diverse candidate pipeline and provided relevant updates to partners and candidates.

Generative AI Recruiting | Data Ecosystem | Data Science + Machine Learning | Infrastructure

Zycada empowers the fastest online shopping experience by leveraging the power and scale of bot technology.  Zycada is trusted by marquee customers around the globe. Zycada bots anticipate user

Zycada Networks

Zycada is an AI-powered CDN accelerator and orchestrator platform that transforms the content viewing and eCommerce experience. Leading eCommerce, online video and gaming companies use Zycada to reduce latency end-to-end, including in the wireless last mile. Zycada integrates with any CDN to boost application performance, which drives higher engagement and revenue for customers.

Founded in 2014, Zycada has accelerated 100 Billion+ transactions of
real-world traffic for top eCommerce and entertainment brands. We are
backed by premier Silicon Valley VCs.

https://www.linkedin.com/company/zycada-networks/

Gartner designates Zycada as a Cool Vendor in Cloud Computing - 2019! 
Read the report here: https://lnkd.in/g4mbFfJ

Technical Recruiter,  Series A startup

Fast-growing Enterprise Cloud Application SaaS company offering award-winning distributed applications and AWS managed services to modernize insurance company business processes. 

Established Recruiting department, developed hiring strategy, created effective messaging practice, wrote and revised all job descriptions. Sourced and placed Web Services Developers, Support Engineers, Database/DevOps, SQA Engineers. Expanded Professional Services Group: Program Managers, Implementation Managers, Technical Business Analysts

Technical Recruiter

Komodo Health: Built a Senior Engineering candidate pipeline for the Sentinel Platform product overhaul. Worked with Hiring Managers to understand their technical requirements, and set up interviews for about a dozen technical candidates on Greenhouse.

Vendia - Worked with Amazon's former Lambda Engineering team (now founders at blockchain startup Vendia) to establish the first Bay Area Senior Infrastructure Developer candidate pipelines, which included an extensive search for core infrastructure developers, and setting up interviews with the industry's most qualified platform and cloud services developers.

AMAZON.COM (2014 - 2018) Sourced SDE IIIs - Software Developers with 7+ years of experience in web development, distributed systems, performance, and scalability. Targeted candidates from high-traffic web companies with expertise in Microservices, AI, Machine Learning, NLP, and Data Science/Analytics, including patent-holders and PhDs.
Seller Services, Mobile Marketplace, and Amazon Alexa (2016 - 2018)
Amazon Fresh (2016): SaaS Grocery Platform running on AWS. Referred 6-7 SDE3 candidates, and did candidate interview prep based on the Amazon Leadership Principals.
Amazon Web Services (2014 -2015): Recruited SDE3 roles in the AWS Mobile Analytics team.

ARM TREASURE DATA, Mountain View - Placed Content Marketing Manager, Head of FP&A, and Sales Development Manager for VP of Business Development. Sourced Senior Solution Engineers, Finance Executives (+accounting clerks) to support executive decisions in the office of CEO Hiro Yoshikawa.

CLIENT 8x8 Initiated and led a technical sourcing blitz to maintain 8x8's continuous high-growth trajectory. Conducted 2 Director of Product Management searches for Platform and Infrastructure, and identified failing startup It's On and helped to move a group of Senior Engineers into 8x8 (10/17-1/18)

Principal Technical Recruiter (Independent Consultant)

Blackwell Search is a network of experienced Technical Recruiters in San Francisco focused on providing talent to enterprise and cloud-driven businesses.  Our approach is transparent, not transactional, and we consider the career goals of candidates as equally important as the hiring objectives of our client companies.  Our success is a direct result of this mutual respect and trust. We are industry experts in Software Engineering recruiting and offer balanced custom solutions to for search and placement. Blackwell Search facilitates a collaborate experience for the hiring team as well as candidates which results in a rewarding experience for everyone. 

Client: Amazon Mobile Marketplace - Sourced and recruited Android Product Developers / Managers (2016), and patent-holding Senior Android Product Developer (2016 – present)
Client: Amazon Fresh - Recruited local SDE3 Software Engineering candidates in Irvine, CA (2016)
Client: Amazon Web Services: Recruited SDE3 roles in AWS Mobile Analytics team (2014-2015)
Client: Cyanogen, Palo Alto, CA: Mobile/Android OS with 50M subscribers. (10/2015-8/2016)
Client: Boomerang Commerce, Mountain View, CA (Contingent) Price Optimization product created by former Amazon executives for large Ecommerce Retailers. (June 2015 – Sept 2016)

Lead Technical Recruiter

Vinesa Blackwell

Looking for a senior *distributed systems engineer* with experience in scalable systems, data streaming, and syncing engines. Must have owned systems through significant growth stages. Remote work, visa sponsorship available. Responsibilities include optimizing sync speed, enabling real-time streaming, and supporting multi-cloud infrastructure. Salary: $170k-$260k.

Gaurav Dalvi

Senthil Nathan Chockalingam

keegan poppen

Ronak Zala

Abhijith Shenoy

Zijie K.

Shahzaib Gill

Julian Pulgarín

Yootthana Mahitdhiharn

Justin Miller

Elliott Asher

Ranjit Iyer

Michael Hudelson

James Jeffryes

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 are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningful improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Talent

Software Engineer, Distributed Systems (Core)

URL:https://boards.greenhouse.io/hightouch/jobs/4782625004
Apply Now
Software Engineer, Customer Studio Backend
(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

Building upon Reverse ETL’s ability to use SQL to sync to any SaaS tool, Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. Despite being a small team (3 engineers, 1 PM, 1 designer), Customer Studio is our fastest growing product and already accounts for nearly half of our revenue, which also gives this role the potential to have significant impact!

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

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

Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.

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 $170,000 - $240,000 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.
System Design Screen [60m]: Designing a feature end-to-end, including touching the database, API, web frontend, and data warehouse.
Product Sense Interview [60m]: Coming up with potential product and feature ideas in response to customer requirements. Focuses primarily on product solutioning with some technical analysis in determining the feasibility of ideas.
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.
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Andrés Vargas

About usHarmonic is the startup discovery engine. We believe in innovation, entrepreneurs, and efficient capital markets. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the index and tools that ensure the most promising founders get found and funded.The world's largest and most prolific venture capital firms rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize.We’ve been growing steadily and need passionate driven people to help us get to the next level. If you want to work in a high-growth environment with some of the most talented folks on the planet and resonate with <a target="_blank" rel="noopener noreferrer" class="c-link" href="https://www.harmonic.ai/careers">our values</a>, read on.

Harmonic

Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. We cover founders who’ve just filed for incorporation to scaleups hiring their go-public CFO, all in real-time with rich firmographic, team info, and time-series data.We're looking a Staff Data Scientist to own our insights layer and build models and algorithms to generate first-party data.

Staff AI/ML Engineer

URL:https://boards.greenhouse.io/harmonic/jobs/4393840005
Apply Now
Staff Data Scientist
(View all jobs)
Brooklyn, New York
About Us

Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. We cover founders who’ve just filed for incorporation to scaleups hiring their go-public CFO, all in real-time with rich firmographic, team info, and time-series data.

Hundreds of venture teams have become data-driven and deployed their dollars more effectively thanks to Harmonic. Firms like Accel, NEA, Brex, Notion, and Google Ventures use Harmonic to connect startups with the capital and resources they need to drive growth. We’re backed by some of the best investors - Craft, Sozo, Floodgate, and several others, all of whom started as customers first.

We believe your ability to pick up new skills, excitement for personal growth, and passion for professional development are more important than where you are today. We invite you to reach out if you’re driven, curious, optimistic, and passionate about mastering your craft!

What we value:

Being customer-obsessed: At the start of each two-week sprint, we commit to our deliverables, focusing on customer impact and fulfilling commitments. Expect an environment of high personal accountability.
Continuous self-improvement: We prioritize growth and feedback, celebrating wins & achievements while focusing on how we can strive to be even better next time. We exchange regular feedback and hold quarterly sessions to discuss each other's strengths and areas for growth, driving our development. We index heavily on introspection, openness to feedback, and direct communication.
“Get shit done” attitudes: Even when things are uncertain, all of our team members excel at pushing projects ahead, asking the right questions, and overcoming obstacles to keep things moving. You understand the importance of balancing speed and quality, and you excel at communicating what can be realistically achieved given the circumstances.

Who you are:

Inquisitive: What kind of topics pique your interest? What keeps you up late at night? What kind of problems do you like to solve?
Accountable: Do you take psychological ownership of your work? What are your action steps when things don’t go according to plan? Can we count on your word?
Engaged: How active are you in accomplishing your personal and professional goals? Are you proactive about identifying roadblocks? What do you do when you see something that isn’t working?

If you are curious about the team, here’s more information:

Explore Working with Sang to understand decision-making processes related to the engineering function.
Explore Team Page to get acquainted with us. We're an exceptionally collaborative and engaged group, deeply committed to our shared cultural values.

Specifically, you will:

Own our insights layer: build models and algorithms to generate first-party data. This will include using statistical and machine learning techniques, including LLMs, to generate derived insights as well as determine accurate values from error-prone sources (e.g. headcount information)
Develop data products that improve the discoverability of startups in our database. Create and continually improve the similarity, relevance, and tagging algorithms that power our search engine.
Use your knowledge and creativity to extract as much value out of our data as possible. Make us the most valuable and useful source of information on startups.
Oversee general maintenance and health of data pipelines to ensure accurate and efficient transformations of our data.
Collaborate with the team to devise product goals, outline milestones, and execute plans, achieving this with minimal guidance.

Role requirements:

7+ years in Data Science or Data Engineering, or 5+ years industry experience + PhD
Fluency in Python and SQL
Experience with backend libraries and tools like dbt and dagster, familiarity with web servers, and comfort with large data sets.
Ability to work 3 times/week in our Brooklyn (Williamsburg) office.
Proven track record of shipping major projects for a data-centric startup.

Compensat:

$185K - $250K Salary + Equity (flexible depending on the level)

Our stack

The Process

Our goal in hiring is to make sure we click on both sides. We’re all about saving time and not beating around the bush. If it’s not looking like a match, we’re upfront and quick to say so, keeping things honest and moving smoothly for everyone involved.

We despise the typical software engineering interview process because it does not align with our day-to-day work. We structured our interview process around pragmatism. Expect us to ask questions closely aligned with the work we expect you to do.

Here’s our interview process:

(30 mins) Introduction Chat: Let's discuss whether Harmonic is the right place for you. We'll review your experience and allocate time for any questions you may have
(30 mins) Hiring Manager Call: Here we focus on accountability, and how much personal ownership one takes of their work.
(Max 5 hours) Take-Home Exercise: We will send you a description of one of our current company challenges and ask you to come up with a creative solution.
(45 minutes each) Team interview: Meet with a member of our Product team to focus on how you would collaborate, and another member of our Engineering team to go over your take-home & conduct a technical assessment.
(2.5 hours) Engineering Jam Session: Detailed discussion of the take-home and digging in deeper to measure technical skills. This will involve coding with 2-3 engineers on our team.
(Async) Reference Checks
(In person) Dinner/Lunch: Get to know Max, our CEO, over dinner! We can only get to know each other so much through video calls. We believe this is a critical hire and believe this investment is necessary. Flight and housing (if needed) are covered.
Benefits*
🩺  Top of the line health, dental and vision insurance, with 100% premium covered
📈  401k matching
🌴  Unlimited vacation and sick leave
🌍  Offices in NYC, SF, & LA
Read about our company culture
*For full-time employees only
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3 days a week in person in our NYC office (Williamsburg)

Ramesh Oswal

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.We are a hybrid company, with over half of our team (and office) located in San Francisco.

Co-founder and Chief Scientist

Cleanlab

At Cleanlab you will figure out how to best leverage new Generative AI advances for better tools that automatically find &amp; fix issues in datasets. The north star of our company is to use AI to increase the value of Data. Work with text, structured/tabular, and image/video datasets from companies across diverse industries, and help them address high-impact Data/AI challenges.Help lead a brilliant team of ML engineers building the most useful Data-Centric AI platform.Publish articles and open-source code.We’re looking for PhD in Machine Learning, or equivalent tech industry experience.Extremely strong Python skills and experience productionizing code/models in cloud environments. You should be comfortable with big datasets/models.Desire to have a huge impact on your company, as well as the general way Data/AI projects are done, by building useful/practical tools quickly (simplicity over complexity).

ML Tech Lead (Science and Engineering)

URL:https://cleanlab.ai/careers/ml-scientist/
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We are willing to sponsor visas for the right candidate

Hybrid work (3 days per week in our SF office)

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