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it systems engineer

Assort Health

<div><h1 class="jobSectionHeader">Our mission is to make exceptional healthcare accessible anytime, anywhere, for anyone.</h1>
At Assort Health, we believe healthcare should feel effortless and connected &mdash; quick answers, clear communication, and seamless access to care. That&rsquo;s why we&rsquo;re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider&rsquo;s unique needs.
Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort&rsquo;s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.
Since launching in 2023, Assort has managed over 135M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.5/5 over 52K reviews, and we&rsquo;ve achieved 20&times; revenue growth in 2025. We&rsquo;re scaling rapidly and expanding adoption across the entire healthcare industry.<h2 class="jobSectionHeader">
About The Role</h2>
We're hiring our first dedicated IT Systems Engineer to own and scale IT infrastructure across the company&mdash;from endpoint management to identity systems and day-to-day operations. You&rsquo;ll be embedded within the Security organization, partnering with every team to build secure, reliable, and scalable IT systems in a fast-growing environment.
This is a foundational role with broad ownership. You&rsquo;ll take the lead on critical initiatives like identity and access management, device lifecycle management, and IT onboarding/offboarding, while also handling real-time operational needs. As the company grows, your work will directly enable us to scale securely and efficiently.<h2 class="jobSectionHeader">
What You'll Do</h2>
You&rsquo;ll be the backbone of IT at the company&mdash;building systems, solving operational challenges, and creating the infrastructure that supports every employee.
Build Our Core IT Systems<ul><li>
Own identity and access management end-to-end, including SSO integrations, user provisioning, and access controls across all applications</li><li>
Lead the rollout and long-term ownership of Okta to centralize and secure access management</li><li>
Design and implement scalable IT systems that support company growth and compliance requirements</li><li>
Manage endpoint infrastructure, including provisioning, configuration, patching, and lifecycle management</li></ul>
Drive IT Operations and Automation<ul><li>
Own employee onboarding and offboarding workflows, ensuring seamless day-one experiences and secure offboarding processes</li><li>
Handle day-to-day IT operational requests including access management, troubleshooting, and employee support</li><li>
Build automation and self-service systems to reduce manual IT workload and eliminate bottlenecks</li><li>
Establish processes that reduce single points of failure and improve system reliability</li></ul>
Solve Complex Infrastructure Challenges<ul><li>
Set up and maintain office network infrastructure, including VPNs, access points, and ongoing troubleshooting</li><li>
Design and implement secure asset disposition processes for retiring and wiping devices</li><li>
Troubleshoot issues across macOS snd Windows environments in a fast-paced, in-office setting</li></ul>
Lay the Foundation for Scale<ul><li>
Transition IT from ad hoc support to structured, scalable systems</li><li>
Partner with Security to ensure compliance and strong security practices across all IT systems</li><li>
Act as the single owner of IT infrastructure, building processes that will scale with headcount growth</li><li>
Provide in-person support and real-time problem-solving in a highly collaborative office environment</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2>
Required:<ul><li>
3+ years of experience in Systems Engineering, IT Engineering, or similar roles</li><li>
Experience building and managing IT systems and workflows in a growing organization</li><li>
Strong understanding of identity and access management (SSO, SAML, SCIM, RBAC, etc.)</li><li>
Experience implementing and managing enterprise SaaS tools at scale</li><li>
Familiarity with device management platforms (e.g., Jamf, Microsoft Intune)</li><li>
Experience with identity providers like Okta</li><li>
Strong troubleshooting skills across macOS and Windows environments</li><li>
Ability to operate independently and take full ownership of IT infrastructure</li><li>
Comfortable working onsite and supporting employees in real time</li></ul>
Nice to Have:<ul><li>
Experience scaling IT systems in a high-growth startup environment</li><li>
Background in security or working closely with security/compliance teams</li><li>
Experience building automation or self-service IT workflows</li><li>
Familiarity with office network infrastructure (VPNs, access points, etc.)</li><li>
Experience supporting compliance frameworks or handling sensitive data environments</li></ul><h1 class="jobSectionHeader">
Benefits &amp; Perks for Assorties</h1><ul><li>
Competitive Compensation &ndash; Including salary and employee stock options so you share in our success.</li><li>
Lifelong Learning &ndash; Annual budget for professional development, plus training opportunities to help you grow.</li><li>
Office Setup Stipend &ndash; We&rsquo;ll outfit your in-office workspace so comfy as it's productive.</li><li>
Top-Tier Health Coverage &ndash; Medical, dental, and vision insurance, because your health comes first.</li><li>
Unlimited PTO &ndash; We trust you to take the time you need to recharge and come back ready to crush it.</li><li>
Meals &amp; Snacks &ndash; Lunch, dinner, and snack breaks that fuel great ideas.</li><li>
Fitness Stipend &ndash; Your wellness matters. We reimburse monthly membership costs to support your health.</li><li>
Commuter Benefits &ndash; We cover eligible transportation costs to make your trip to work easier.</li><li>
401(k) &ndash; Build your retirement savings.</li></ul><h1 class="jobSectionHeader">
How We Work &amp; What We Value</h1>
Our team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work&mdash;they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result. Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we&rsquo;d love to hear from you! 
 
Please note: the Assort Health Talent Team will only email you from an assorthealth.com email address.
Compensation Range: $135K - $145K</div>

IT Systems Engineer

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

Scale

Founding Data &amp; Operations EngineerSan Francisco, CA (On-Site) | $200K&ndash;$280K BaseBuild the Infrastructure Behind the Future of Global FinanceWe are building a next-generation financial platform that unifies banking, payments, and crypto into a single, seamless experience. Our mission is to expand financial access globally&mdash;particularly in regions where traditional systems have failed&mdash;and give millions of people a better way to move and manage money.Our team is intentionally small and senior. We&rsquo;ve previously built and scaled products used by hundreds of millions of users and generating billions in revenue. Now, we are doing it again&mdash;this time with immediate distribution through key partners and a clear path to global scale.We are looking for a Founding Data &amp; Operations Engineer to design and build the core systems that will power everything we do.What You&rsquo;ll Own<ul><li>Architect and build the data infrastructure that underpins our entire platform</li><li>Create systems that enable accurate financial ledgers across multiple partners and accounts</li><li>Design pipelines that support fraud detection, AML workflows, and risk modeling</li><li>Build a unified analytics layer that gives teams real-time, reliable insights</li><li>Establish secure data access patterns that maintain governance, lineage, and compliance</li><li>Define and document best practices for infrastructure and data systems as we scale</li></ul>What You Bring<ul><li>5+ years of experience building and shipping data platforms or pipelines at scale</li><li>Deep expertise with Terraform, dbt, SQL, and AWS</li><li>Strong experience in FinTech environments (banking, payments, crypto, lending, etc.)</li><li>Background in data modeling, ETL/ELT, or event-driven systems</li><li>Ability to think across systems&mdash;data, backend, and infrastructure</li><li>Clear and effective technical communication</li></ul>What Makes You Stand Out<ul><li>Experience with global payments, ledgering, or financial systems</li><li>Exposure to fraud detection or compliance workflows</li><li>Ability to translate complex data into clear insights and systems</li><li>Experience working in small, high-performance teams</li></ul>Why This Role Is Different<ul><li>Founding-level ownership: You will define core architecture and systems from the ground up</li><li>Immediate impact: Your work directly powers products used by millions</li><li>High-caliber team: Work alongside experienced operators and engineers with proven track records</li><li>Speed and autonomy: No layers, no bureaucracy&mdash;just execution</li><li>Global scale: Build infrastructure that supports a worldwide user base from day one</li></ul>Our CultureWe operate with a strong bias toward ownership, speed, and precision. Every person on the team contributes meaningfully to both product and company direction. We value individuals who take initiative, communicate openly, and are driven to build at a high level.Compensation<ul><li>Base salary: $200,000&ndash;$280,000</li><li>Additional compensation and benefits discussed during the process</li></ul>Final ThoughtThis is an opportunity to build the data foundation of a global financial platform from the earliest stages. If you are motivated by ownership, technical depth, and real-world impact, we want to hear from you.Pay: $200,000.00 - $280,000.00 per yearApplication Question(s):<ul><li>Do you have experience working at banking/credit card/crypto/remittances/lending startups?</li><li>Do you have experience with data modeling, ETL/ELT, or event-driven systems?</li><li>Do you have extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL?</li><li>Do you have at least 5+ years building and shipping data pipelines and platforms?</li><li>Do you have experience generally across the backend: working with Postgres, Redis, AWS, etc?</li></ul>Work Location: In person

Senior Data Engineer

Meet Life Sciences

<div>
 
 Our client is a small, focused team building technology that puts better clinical information in the hands of healthcare professionals &mdash; at a scale that belies the size of the team behind it. They've grown fast, they operate lean by design, and they're now building out the founding team that will shape the next decade of the company.
 
 
 
 
 
 In healthcare, the interface isn't decoration. When a clinician is making a call, what's in front of them needs to work &mdash; instantly, clearly, without friction. Good design here isn't a nice-to-have. It's part of the answer.
 
 
 
 
 
 
 Design Engineer
 
 
 
 You'll sit at the intersection of design and engineering and own both sides completely. That means building what you design, shipping it fast, and iterating on it in production with real users giving you real signal. Product, brand, motion, systems &mdash; the full picture is yours to shape.
 
 
 The right person for this role doesn't think in handoffs. They think in outcomes. They see something that isn't working and they fix it &mdash; not because they were asked, but because they couldn't leave it alone.
 
 
 
 
 
 
 What You'll Work On
 
 
 <ul>
 <li>
 
 The Full Product Experience
 
 You're responsible for how the product looks, feels and behaves across every surface. You set the bar and you hold it.
 </li>
 <li>
 
 Building, Not Just Designing
 
 You write production code. Your work goes live fast and you learn from it in real time &mdash; no waiting, no translating your vision through someone else's hands.
 </li>
 <li>
 
 The Details That Actually Matter
 
 Information hierarchy, typography, interaction design &mdash; the things most people gloss over are the things you obsess over. That's what separates good from great in a product like this.
 </li>
 <li>
 
 Working at the Top of the Company
 
 You'll work directly with the founders, with short feedback loops and genuine influence over product direction. What you think matters here.
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Fluency in both design and engineering &mdash; you've always worked this way
 </li>
 <li>
 A portfolio that shows taste, not just technical ability
 </li>
 <li>
 Experience shaping both product and brand, not one or the other
 </li>
 <li>
 The instinct to spot what's off and the drive to fix it unprompted
 </li>
 <li>
 Speed that doesn't come at the cost of quality
 </li>
 <li>
 A desire to own, not assist
 </li>
 </ul>
 
 
 
 
 
 Details
 
 Based in San Francisco. Remote considered for the right person, with relocation support available. Competitive salary, meaningful equity, full-time.
 
 
 
 
 
 
 Interested?
 
 Apply and I'll be in touch if there's a fit. We work with a number of exciting clients across the industry &mdash; so even if this one isn't quite right, another opportunity might be just around the corner.
 
</div>

Design Engineer

OpenAI

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.
 
This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.
 
About the Role
 
We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.
 
The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.
 
You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.
 
Key Responsibilities
 
Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.
 
Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.
 
Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.
 
Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.
 
Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.
 
Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
 
Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.
 
Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
 
Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.s
 
Qualifications
 
10+ years of electrical engineering experience in mission-critical facilities such as data centers or comparable critical infrastructure.
 
Bachelor’s degree in electrical engineering, power systems, or a related discipline.
 
Strong hands-on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
 
Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
 
Experience leading FWTs, FATs, SATs, integrated systems testing, failure-mode testing, and root-cause investigations.
 
Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
 
Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
 
Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non-technical stakeholders.
 
Comfortable operating in fast-moving environments with incomplete information and changing priorities.
 
Preferred Skills
 
15+ years of relevant experience.
 
Advanced degree in electrical engineering, power systems, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with hyperscale data centers, GPU clusters, high-density rack deployments, or liquid-cooled compute environments.
 
Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
 
Experience with modular power systems, rack-level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
 
Experience managing global, multi-site deployment programs or manufacturing quality programs.
 
Familiarity with grid constraints, demand response, renewable integration, or low-carbon infrastructure strategies.
 
Work Environment and Travel
 
This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Electrical Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 At Whatnot data engineers build foundational data systems that power product development, experimentation, machine learning, and operational decision-making across the company. As an Data Engineer on the Notifications Platform, you will play a critical role in owning and evolving one of the highest-volume and highest-impact data domains at Whatnot.
 
 
 Notifications generate hundreds of millions of events per day, and the underlying data systems support everything from ML iteration and experimentation to adhoc engineering debugging. In this role, you will define the technical direction for the Notifications data mart, harden it to production-grade reliability, and set new patterns for domain-owned data engineering.
 
 
 Working in a highly cross-functional role, you will collaborate closely with Product Engineers, Data Scientists, ML Engineers, and the Analytics Platform team. You&rsquo;ll make key architectural decisions around data modeling, reliability, latency, and cost &mdash; and then make them real.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate batch data workflows that process high-volume events related to notifications with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and production applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, self-healing, maintainable data assets.
 
 
 </li>
 </ul>
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 Curious about who thrives at Whatnot? We&rsquo;ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
 
 
 As our next Data Engineer, you bring deep experience designing reliable, scalable data systems and are excited to take true ownership of a complex product domain.
 
 
 You should have 5+ years of experience in the data or software engineering domain, plus:
 
 
 <ul>
 <li>
 Strong experience building and maintaining production-grade data pipelines with clear SLAs, monitoring, and alerting
 </li>
 <li>
 Deep expertise in SQL, including complex model graphs, dependency management, and performance optimization
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Proven track record working with large-scale datasets (hundreds of millions of rows per day)
 </li>
 <li>
 Experience designing data models that balance analytics, ML, and operational debugging use cases
 </li>
 <li>
 Strong systems thinking &mdash; you consider correctness, latency, cost, and maintainability together
 </li>
 <li>
 Self-starter ethic, thriving under a high level of autonomy
 </li>
 <li>
 Exceptional interpersonal and communication skills in cross-functional environments
 
 
 </li>
 </ul>
 
 💰Compensation For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $195,000/year to $230,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
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 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer, Notifications

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
We&rsquo;re hiring a Senior Software Engineer to build and evolve the core product experiences that power Collective&rsquo;s member platform. This is a product engineering role with high ownership across the stack, working closely with Product, Design, and Operations to ship fast and iterate based on real customer needs. You&rsquo;ll be expected to use modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities. This role is ideal for engineers who think in terms of outcomes, not tickets, and who see AI as a core part of how software gets built today.
What you'll do:<ul><li>
Own features end-to-end &mdash; define the problem, build the solution, deploy it, and iterate until it works</li><li>
Ship high-quality, user-facing product experiences across frontend and backend systems</li><li>
Partner with Product and Design to break down ambiguous problems into simple, effective solutions &mdash; then build them</li><li>
Leverage AI-powered development tools (code generation, copilots, agent workflows) to move faster and cut manual overhead</li><li>
Identify and implement AI capabilities in the product where they meaningfully improve the member experience</li><li>
Ship continuously, instrument what you build, and use customer behavior and feedback to drive the next iteration.</li><li>
Make system design decisions that balance speed, scalability, and maintainability &mdash; and own the tradeoffs</li><li>
Build and improve developer workflows through automation, internal tooling, and AI-assisted processes</li><li>
A habit of evaluating new tools, frameworks, and approaches &mdash; and a willingness to recommend what works and kill what doesn't</li></ul>
What you'll bring:<ul><li>
 5+ years of experience building and shipping production software in a product-focused environment</li><li>
Strong fullstack engineering skills (e.g., Python, Django, React, or similar modern frameworks)</li><li>
Track record of owning features or systems end-to-end and delivering measurable user impact</li><li>
Experience using AI developer tools (copilots, code agents, custom workflows) to ship faster &mdash; not just experiment with them</li><li>
Ability to take a loosely defined member problem and drive it to a shipped solution without waiting for a fully specced PRD</li><li>
Product instinct that lets you make good scope and UX tradeoffs without a designer in every conversation</li><li>
Clear communication and collaboration skills across technical and non-technical partners</li><li>
Demonstrated ability to integrate AI agents and automation into development workflows and product features</li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $195K - $230K</div>

Senior Software Engineer

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