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Surface Labs

<div>
 
 About Surface Labs
 
 
 
 Surface Labs is an applied AI lab building the future of Marketing Operations.
 
 
 We&rsquo;re backed by Y Combinator, Garry Tan, Dharmesh Shah (co-founder of HubSpot), and the CEO of AngelList, our AI agents have driven $40M+ in inbound pipeline and process 50K+ leads monthly.
 
 
 
 We're the CMO's best friend: less manual work, more pipeline, predictable revenue.
 
 Our system creates and captures demand with content agents that boost rankings in AI search (ChatGPT, Perplexity, Gemini), then systematically convert that traffic into qualified leads and demos on autopilot.
 
 
 In the last few months, we've grown from 5 &rarr; 12 people across Engineering, Design, and Content &mdash; and are now bringing on an SDR to scale our outbound motion. Our marketing efforts generate
 
 thousands of leads per month
 
 , and you'll work alongside a full-cycle AE, a GTM engineer, and the founder to convert those leads into demos.
 
 
 
 The Role
 
 
 
 Work directly with the CEO to run outbound and open doors at the right companies. High ownership, quota-carrying, with a track to Founding AE if you're killing it. In-office 5 days a week in SF (sometimes weekends) &mdash; we move fast and build together.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Run outbound across cold calls, LinkedIn, email, and in-person (SF events + occasional travel)
 </li>
 <li>
 Convert thousands of monthly leads into qualified demos
 </li>
 <li>
 Own the full pipeline: targeting &rarr; messaging &rarr; scheduling &rarr; follow-up
 </li>
 <li>
 Hit monthly meeting quotas and keep CRM clean
 
 
 </li>
 </ul>
 
 You're a Fit If You&hellip;
 
 
 
 <ul>
 <li>
 1&ndash;3 years in sales, GTM, or customer-facing roles (or strong hustle background)
 </li>
 <li>
 Have done the unglamorous work: built lists from scratch, ground out calls and emails all day, then did it again
 </li>
 <li>
 Comfortable with outbound and rejection
 </li>
 <li>
 Used tools like Clay, Sales Navigator, or Apollo
 </li>
 <li>
 Relentless, high-energy, and always growing
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience pitching B2B SaaS or GTM tech tools (HubSpot, Salesforce, marketing automation, etc.)
 </li>
 <li>
 Technical interest or experience (vibe coding, Claude Code, etc.)
 </li>
 <li>
 Willing to find ways to automate your job using AI automations/code
 
 
 </li>
 </ul>
 
 Comp
 
 
 
 <ul>
 <li>
 Base: $60K&ndash;$80K
 </li>
 <li>
 OTE: $90K&ndash;$110K (base + commission with accelerators)
 </li>
 <li>
 Equity: 0.05%&ndash;0.2% (4-year vest, 1-year cliff)
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Health, dental, and vision insurance
 </li>
 <li>
 401k Plan
 </li>
 <li>
 Food and travel reimbursement
 </li>
 <li>
 MacBook
 </li>
 <li>
 International team off-sites
 </li>
 </ul>
</div>

Tech Sales (SDR)

KUSAKABE

Hiring Restaurant Reservationist + Manager Assistant(Location: SF financial district) Compensation: Starting at $19.18 or $20 depending on experience. After 90 days probation period, we will add $2.74 per hour. Your pay will increase to $21.92 or $22.74 per hour.We are hiring a part-time reservationist + assistant at our fine Japanese sushi restaurant.We are looking for a friendly and reliable worker who is able to multitask and preferably has reservationist/ assistant experience. Working days will be 2 days per week (currently Tuesdays and Wednesdays) for 6 to 7 hours a day. Working time starts around 12:30pm as default. We might ask to come earlier and work later. We also ask you to help the restaurant services as needed.Job responsibility: - Call guests and take and confirm reservations-Check 10 to 20 calls and voicemails on a daily basis-Use 3 different reservation systems to accommodate guests (Sevenrooms, Opentable, Tock) as well as POS system for the menu changes.-Take drink inventory and fill up the refrigerator (there will be some lifting, 10 to 25lb)-Create a seating summary for that day using MS excel-Create food and drink menu using MS word-Assist Manager for miscellaneous work-Have Positive attitude and energy to staff and guestsCriteria: -Be able to speak English professionally and clearly-Have restaurant experience as a reservationist &amp; manager assistant preferred-Have sense of urgency-Somewhat PC savvy-Be able to work for years-Be able to speak Japanese or other language is a good plus- Experience with POS system is a huge plus-If asked, work in the weekend or be flexibly available on other weekdays -Must be LEGAL US citizen or have a LEGAL working permitTypical end time:<ul><li>6:30 - 7PM</li></ul>Typical start time:<ul><li>12:30PM</li></ul>Job Type: Part-timePay: $19.18 - $20.00 per hourBenefits:<ul><li>401(k) matching</li><li>Employee discount</li></ul>Work Location: In person

Reservationist / Assistant to Manager

Probably Genetic

<div><h2 class="jobSectionHeader">About Probably Genetic</h2>
Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.
We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it.
Probably Genetic has raised multiple rounds of funding from Silicon Valley&rsquo;s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity.<h1 class="jobSectionHeader">
About the role</h1>
We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions.<h1 class="jobSectionHeader">
What you will do</h1><ul><li>
Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models &mdash; from feature engineering through production deployment &ndash; that power program eligibility decisions and clinical decisions for patients</li><li>
Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance</li><li>
Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle</li><li>
Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion</li><li>
Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring</li><li>
Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights</li><li>
Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes</li><li>
Have the freedom to conduct blue sky research initiatives aimed at creating value from our data</li><li>
Work with Data Engineering to build a robust, scalable data foundation that supports all of the above</li></ul><h1 class="jobSectionHeader">
Who you are</h1>
We are looking for a few specific things that will help you succeed in this role:<ul><li>
7+ years of experience in data science, machine learning engineering, or a closely related field</li><li>
Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL</li><li>
Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment</li><li>
Experience with NLP techniques and applying language models to real-world problems</li><li>
Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI)</li><li>
A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it</li><li>
Strong analytical communication skills &mdash; you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike</li></ul>
Some things that are not required, but you will learn on the job:<ul><li>
Experience with Databricks or similar lakehouse/ML platform environments</li><li>
Familiarity with synthetic data generation techniques</li><li>
Domain knowledge in healthcare, rare disease, genomics, or clinical research</li><li>
Experience with MLOps tooling and building observability infrastructure from scratch</li><li>
Exposure to biopharma or insurance analytics use cases</li></ul>
As with all new hires at Probably Genetic, you will also need to be:<ul><li>
A good person. We work with some of the most marginalized populations on the planet and empathy is key</li><li>
Patient-focused and motivated to have a lasting, positive impact on humanity</li><li>
Comfortable in a fast-paced, often ambiguous environment with rapid change</li><li>
Action-oriented and excited to build a company from the ground up</li></ul> 
The salary range for this role is $180,000-$230,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs.<h2 class="jobSectionHeader">
What we offer at Probably Genetic:</h2><ul><li>
An engaging and supportive team all on a mission to improve lives</li><li>
Fair and equitable compensation with competitive early-stage equity grants</li><li>
Generous Flexible Time off policy, that we actually use</li><li>
Parental Leave Benefits (12 weeks for both birthing and non-birthing)</li><li>
Hybrid, flexible work with high-trust and autonomy</li><li>
A bright, inviting, pet-friendly office in Downtown SF near transit</li><li>
A &ldquo;work from anywhere&rdquo; policy, up to 4 weeks a year</li><li>
Regular team retreats in exciting destinations</li><li>
Health Benefits including medical, dental, vision, therapy, FSA, and 401k</li><li>
And so much more!</li></ul>
Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.
Compensation Range: $180K - $230K</div>

Senior Data Scientist

Pallet

<div><div>About Pallet
Pallet is building AI Agents to transform logistics &mdash; a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down &mdash; from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.

As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.

Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.</div>
$195,000 - $265,000 
Full-time / Onsite (5 days/week)

About The Role

Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We're looking for a founding engineer to build the security and platform foundations of the company from the ground up.

This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years.

Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks:
<ul>
<li>What happens when this fails?</li>
<li>Who should have access to this?</li>
<li>How do we reduce the blast radius?</li>
<li>Can we eliminate this problem entirely?</li>
<li>And then builds the answer.</li>
</ul>
You'll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area.

What You'll Do
<ul>
<li>Build and maintain the core platform services that power Pallet's AI systems and developer workflows</li>
<li>Design and implement authentication, authorization, secrets management, and access control systems</li>
<li>Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities</li>
<li>Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems</li>
<li>Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability</li>
<li>Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure</li>
<li>Identify systemic risks and eliminate entire categories of operational, security, and reliability problems</li>
<li>Own projects from architecture through production rollout</li>
</ul>
Who You Are
<ul>
<li>6+ years of software, backend, infrastructure, or platform engineering experience</li>
<li>Strong software engineering fundamentals and a track record of shipping production systems</li>
<li>Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security</li>
<li>Strong understanding of cloud infrastructure, containers, networking, and distributed systems</li>
<li>Experience designing platforms, tooling, or abstractions that other engineers depend on</li>
<li>Comfortable moving from a blank document to a production deployment with minimal oversight</li>
<li>High ownership and strong engineering judgment</li>
<li>You write code every day and want to continue doing so</li>
</ul>
Nice To Haves
<ul>
<li>Experience at an early-stage startup where you helped define foundational technical decisions</li>
<li>Experience building multi-region or highly available systems</li>
<li>Experience supporting AI/ML infrastructure or model-serving platforms</li>
</ul>
Our tech stack
<ul>
<li>Database: PostgreSQL</li>
<li>Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP</li>
<li>LLMs: OpenAI, Anthropic, Google (foundation models), Browserbase (browser automation)</li>
<li>Frontend: React + TypeScript, hosted on Vercel</li>
</ul>
Interview Process
<div>
<ul><li>Intro Chat with Head of Talent (30 mins)</li></ul>
<ul><li>Technical Screen + Meet and Greet with an Engineer (60 mins)</li></ul>
<ul><li>Executive Chat - Nilkanth, CTO (30-45 mins)</li></ul>
<ul><li>Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)</li></ul>
</div>
Compensation

The estimated salary range for this role is $195,000 &ndash; $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.<div>
Our Benefits

We invest in our people the same way we invest in our product: seriously.
<ul><li> Health, Vision, and Dental benefits</li>
<li>️ Flexible PTO</li>
<li>➕ Life Insurance and Accidental Insurance</li>
❤️&zwj;<li> Short-Term Disability Coverage</li>
<li> Generous salary and equity for all staff</li>
<li> 401k option; helping you save for the future</li>
<li> Yearly learning and development stipend</li>
<li> Commuter benefits for Bay Area employees</li>
<li> Uber ride stipend if you ever have to work late in the office</li>
<li> Remote office home stipend to get you comfy in your space</li>
<li> Daily catered lunches provided</li>
<li>✈️ Onboarding trip to San Francisco HQ if you work remotely</li>
<li> Monthly happy hours</li>
 Annual Company Offsites; our last one was in Palm Springs CA
</ul>
Workplace Policy

We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.

Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.

Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.

Equal Opportunity

Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.

Candidate Privacy Notice

Please review Pallet's Candidate Privacy Notice here.

Accommodations

Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.

If you need any assistance or accommodations due to a disability, please contact us at peopleops@pallet.com.</div></div>

Security Platform Engineer

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Tech Sales (SDR)

Reservationist / Assistant to Manager

Senior Data Scientist

Security Platform Engineer