platform software engineer

PayJoy

<div><div><div><b>About PayJoy</b></div><div></div><div><br>
PayJoy is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy&rsquo;s point-of-sale financing and credit cards, customers gain access to a modern quality of life. PayJoy&rsquo;s credit also allows our customers to seize opportunities as micro-entrepreneurs, and provide safety acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.</div><div></div><div><b><br>
This role</b></div><div></div><div><br>
The Staff Software Engineer &ndash; MarTech Systems is responsible for defining the architectural direction and making high-impact technical decisions that will shape the development of platforms for MarTech Systems, which drive global customer acquisition, activation, engagement, and retention.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Architect and own PayJoy&rsquo;s marketing-technology platforms, including attribution pipelines, tracking frameworks, lifecycle automation engines, personalization systems, and CRM/CDP integrations.</li><li>
Lead medium-to-large, multi-team engineering initiatives end-to-end, including problem definition, architecture design, planning, risk mitigation, execution, testing, deployment, and ongoing monitoring.</li><li>
Make high-impact technical contributions across complex distributed systems, unblocking teams and elevating system reliability, performance, and scalability.
</li><li>Define technical direction, standards, and best practices for MarTech systems, driving alignment across Engineering, Product, Marketing, and Data.</li><li>
Ensure operational excellence by establishing SLOs, improving observability, reducing incidents, managing technical debt, and maintaining high code quality.</li><li>
Represent MarTech systems in cross-functional forums, clearly communicating architectural trade-offs, risks, timelines, and business impact to senior stakeholders while influencing roadmap decisions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li><ul><li>
10+ years of software engineering experience, with ownership of MarTech platforms, distributed systems, or large-scale data pipelines.</li><li>
Strong, hands-on experience in MarTech / Growth Engineering, including attribution, event tracking, analytics, marketing automation, personalization, and CRM/CDP integrations.</li><li>
Proven experience working with Adobe Experience Platform (AEP) and Adobe Experience Cloud (identity, audience management, data activation).</li><li>
Experience with Salesforce and at least one lifecycle marketing platform (Marketo or Braze).</li><li>
Ability to design end-to-end architecture, define a technical roadmap, and turn ambiguity into clear, scalable solutions.</li><li>
Hands-on experience with cloud-native architectures, APIs, event-driven systems, and data modeling (AWS preferred).</li><li>
Strong technical leadership as an individual contributor: influence, ownership, and decision-making.</li><li>
Excellent collaboration with Marketing, Product, and Data teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><ul><li><ul><li>
Experience integrating CPQ / contract systems (DealHub, Ironclad).</li><li>
Experience building in-house personalization engines or CMS.</li><li>
Exposure to AI/ML models for growth, targeting, or recommendations.</li><li>
Background in fintech or data- and marketing-heavy environments.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Benefits</b></h3><ul><li><ul><li>
Company-funded health, dental, and vision insurance for employee and immediate family</li><li>
Company-funded employee life and disability insurance</li><li>
401k contribution</li><li>
Company holidays; 20 days of vacations; unlimited sick leave</li><li>
Commuter benefit ($270/month)</li></ul></li></ul></div></div>
<div><div>$310,000 - $324,000 a year</div></div>
<div><div>PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon 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, status as an individual with a disability, or other applicable legally protected characteristics.</div><div></div><div><b><br>
PayJoy Principles</b></div><div></div><div><br>
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency &amp; Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening</div></div></div>

Staff Software Engineer - Martech (SF)

EvenUp

<div><p>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.</p><p>
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.</p><p></p><h1 class="jobSectionHeader"><b>
Life as an Engineer at EvenUp
</b></h1><p></p><h1 class="jobSectionHeader"><b>Location &amp; Work Model</b></h1><p>
This is a hybrid role, with an expectation of being in our SF office three days per week.</p><p></p><h1 class="jobSectionHeader"><b>
About the Team</b></h1><p>
The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp&rsquo;s engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry-leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp&rsquo;s ability to deliver faster, higher-quality outcomes for injury victims&mdash;bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system.</p><p></p><p>
What makes this team unique is its deeply technical, multi-disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production-grade AI platforms&mdash;not one-off experiments&mdash;ensuring that LLM-powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high-leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability.</p><p></p><h1 class="jobSectionHeader"><b>
Responsibilities</b></h1><ul><li><p>
Own and evolve core backend systems and platforms that enable LLM-powered products at scale</p></li><li><p>
Drive the technical direction of complex, high-impact initiatives with significant ambiguity</p></li><li><p>
Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions</p></li><li><p>
Design and deliver scalable, reliable, and maintainable systems that power production-grade AI applications</p></li><li><p>
Raise the technical bar through mentorship, best practices, and architectural leadership</p></li><li><p>
Influence long-term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p><b>
Execution &amp; Delivery: </b>Build, ship, and iterate on backend systems that support production-grade LLM applications. Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch)</p></li><li><p><b>
Architecture &amp; Quality: </b>Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability</p></li><li><p><b>
Cross-Functional Collaboration: </b>Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high-level product needs into clear technical plans and execution paths</p></li><li><p><b>
Ownership &amp; Growth: </b>Own projects end-to-end&mdash;from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Look For</b></h1><ul><li><p>
Strong experience building and scaling backend systems, platforms, or infrastructure</p></li><li><p>
Proven ability to lead complex technical initiatives across teams or domains</p></li><li><p>
Deep understanding of distributed systems, system design, and technical tradeoff analysis</p></li><li><p>
High standards for code quality, architecture, and long-term maintainability</p></li><li><p>
Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++</p></li><li><p>
Clear, structured communication and the ability to influence cross-functional stakeholders</p></li><li><p>
Comfort operating in fast-paced, high-growth, and ambiguous environments</p></li><li><p>
A strong sense of ownership, accountability, and technical leadership</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Bonus (Nice to Have)</b></h1><ul><li><p>
Experience working with AI/ML systems or LLM-powered applications</p></li><li><p>
Exposure to AI platforms, developer enablement tooling, or ML-heavy environments</p></li><li><p>
Background in legal tech, mission-driven products, or social-impact engineering</p></li><li><p>
Prior startup or scale-up experience</p></li></ul><p></p><p><b>
#LI-Hybrid</b></p><p></p><p><b>
Notice to Candidates:</b></p><p>
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.</p><p>
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.</p><p><i>
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.</i></p><p></p><p><b>
Benefits &amp; Perks:</b></p><p>
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:</p><ul><li><p>
Choice of medical, dental, and vision insurance plans for you and your family</p></li><li><p>
Additional insurance coverage options for life, accident, or critical illness</p></li><li><p>
Flexible paid time off, sick leave, short-term and long-term disability</p></li><li><p>
10 US observed holidays, and Canadian statutory holidays by province</p></li><li><p>
A home office stipend</p></li><li><p>
401(k) for US-based employees and RRSP for Canada-based employees</p></li><li><p>
Paid parental leave</p></li><li><p>
A local in-person meet-up program</p></li><li><p>
Hubs in San Francisco and Toronto</p></li></ul><p><i>
Please note the above benefits &amp; perks are for full-time employees</i></p><p></p><p><i>
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i></p><p>
Compensation Range: $114.8K - $317.2K</p></div>

Staff Software Engineer, Platform

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join Notion&rsquo;s Data Platform team as we scale our infrastructure for enterprise customers. You&rsquo;ll help design and build the core data platform that powers Notion&rsquo;s AI, analytics, and search while meeting stringent security, privacy, and compliance requirements. This role focuses on the data platform layer (storage, compute, pipelines, governance) and partners closely with Security, Search Platform, AI, and Data Engineering.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and evolve the data lakehouse
   <br/>
   <br/>
  </li>
 </ul>
 Build and operate core lakehouse components (e.g., Iceberg/Hudi/Delta tables, catalogs, schema management) that serve as the source of truth for analytics, AI, and search.
 <br/>
 <br/>
 <ul>
  <li>
   Own critical data pipelines and services
   <br/>
   <br/>
  </li>
 </ul>
 Design, implement, and harden batch and streaming pipelines (Spark, Kafka, EMR, etc.) that move and transform data reliably across regions and cells.
 <br/>
 <br/>
 <ul>
  <li>
   Advance EKM and encryption-by-design
   <br/>
   <br/>
  </li>
 </ul>
 Work with Security and platform teams to integrate Enterprise Key Management (EKM) into data workflows, including file- and record-level encryption and safe key handling in Spark and storage systems.
 <br/>
 <br/>
 <ul>
  <li>
   Improve data access, auditability, and residency
   <br/>
   <br/>
  </li>
 </ul>
 Build primitives for fine-grained access control, auditing, and data residency so customers can see who accessed what, where, and under which guarantees.
 <br/>
 <br/>
 <ul>
  <li>
   Drive reliability and observability
   <br/>
   <br/>
  </li>
 </ul>
 Raise the operational bar for our data stack: improve on-call experience, debugging, and alerting for data jobs and services.
 <br/>
 <br/>
 <ul>
  <li>
   Optimize large-scale performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Tackle performance and cost challenges across Kafka, Spark, and storage for very large workspaces (20k+ users, multi-cell deployments), including cluster migrations and workload tuning.
 <br/>
 <br/>
 <ul>
  <li>
   Enable ML and search workflows
   <br/>
   <br/>
  </li>
 </ul>
 Build infrastructure to support training and inference pipelines, ranking workflows, and embedding infrastructure on top of the shared data platform.
 <br/>
 <br/>
 <ul>
  <li>
   Shape the platform roadmap
   <br/>
   <br/>
  </li>
 </ul>
 Contribute to design docs and evaluations that influence our long-term platform direction and vendor choices.
 <br/>
 <br/>
 <strong>
  Skills You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 5+ years building and operating data platforms or large-scale data infrastructure for SaaS or similar environments.
  </li>
  <li>
   Programming: Strong skills in at least one of Python, Java, or Scala; comfortable working with SQL for analytics and data modeling.
  </li>
  <li>
   Distributed data systems: Hands-on experience with Spark or similar distributed processing systems, including debugging and performance tuning.
  </li>
  <li>
   Streaming &amp; ingestion: Experience with Kafka or equivalent streaming systems; familiarity with CDC/ingestion patterns (e.g., Debezium, Fivetran, custom connectors).
  </li>
  <li>
   Lakehouse / storage: Experience with data lakes and table formats (Iceberg, Hudi, or Delta) and/or data catalogs and schema evolution.
  </li>
  <li>
   Security &amp; governance: Practical understanding of access control, encryption at rest/in transit, and auditing as they apply to data platforms.
  </li>
  <li>
   Cloud infrastructure: Experience with at least one major cloud provider (AWS, GCP, or Azure) and managed data/compute services (e.g., EMR, Dataproc, Kubernetes-based compute).
  </li>
  <li>
   Operations: Comfortable owning services and pipelines in production, including on-call, incident response, and reliability improvements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working directly with enterprise customers or on features like data residency, EKM, or compliance-driven auditing.
  </li>
  <li>
   Prior work on Databricks, Unity Catalog, Lake Formation, or similar catalog/governance systems.
  </li>
  <li>
   Background implementing multi-region / multi-cell data architectures.
  </li>
  <li>
   Experience building ML training/eval workflows or model/feature stores on top of a shared data platform.
  </li>
  <li>
   Familiarity with vector databases or search infrastructure, and how they integrate with upstream data systems.
  </li>
  <li>
   Experience designing or improving observability for data platforms (e.g., Honeycomb, OpenTelemetry, metrics/trace-heavy debugging).
   <br/>
   <br/>
  </li>
 </ul>
 Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $300,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Software Engineer, Enterprise Data Platform

Chalk

<div>
 <p>
  <strong>
   <u>
    About Chalk
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, diagnosing sepsis, and maximizing clean energy capture. We've recently raised a
  <u>
   $50 million Series A
  </u>
  , led by Felicis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the role
   </u>
  </strong>
 </p>
 <p>
  We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We work in-person Monday through Friday in our SF and NY offices. We don&rsquo;t currently offer remote or hybrid positions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning &amp; optimization, compilers, and distributed analytical data processing systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What you will do
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
  </li>
  <li>
   Write Python and Rust
  </li>
  <li>
   Design, implement, ship, and maintain significant components of our query planning and execution engine
  </li>
  <li>
   Iterate rapidly to improve Chalk&rsquo;s platform in response to customer needs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What we&rsquo;re looking for
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2+ years experience of professional backend software engineering experience
  </li>
  <li>
   Strong working knowledge of computer science fundamentals. We&rsquo;re not looking for experience from drilling leet code &ndash; we need folks who are comfortable building and maintaining real systems
  </li>
  <li>
   Comfort with leading development of new components of existing systems, and with taking ownership of existing software
  </li>
  <li>
   Track record of learning new concepts quickly
  </li>
  <li>
   Ability to work autonomously &amp; to make pragmatic tradeoffs with an eye towards business outcomes
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Bonus points
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience implementing data infrastructure
  </li>
  <li>
   Experience with distributed systems/compilers/query planners
  </li>
  <li>
   Experience with Rust
  </li>
  <li>
   Experience with developing PaaS-like software
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚕️Comprehensive medical, dental, and vision insurance
 </p>
 <p>
  🏦 Flexible Spending Account (FSA), Health Savings Account (HSA
 </p>
 <p>
  🦮 Expert Healthcare Guidance
 </p>
 <p>
  💵 Retirement savings
 </p>
 <p>
  🎄15 company holidays each year
 </p>
 <p>
  🏖️15 days of personal time off each year
 </p>
 <p>
  🚌 Flex Commuter Benefits
 </p>
 <p>
  🌮 Daily lunch and dinner on Chalk
 </p>
 <p>
  🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 </p>
 <p>
  🍽️ Staying late? Dinner is on us
 </p>
 <p>
  🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Compensation
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: market, location, scope of the position and individual qualifications objectively assessed during the interview process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk&rsquo;s growth and us achieving our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Inclusivity
   </u>
  </strong>
 </p>
 <p>
  Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 </p>
</div>


Software Engineer

Cardless

<div>
 Cardless is looking for an experienced backend engineer to join our exceptional team! You&rsquo;ll play a key role in designing, building, and scaling the systems that power our co-branded credit card platform spanning domains like applications, accounts, transactions, fraud, risk, and rewards.
 <br/>
 <br/>
 As a software engineer, your responsibilities will include but not be limited to the following:
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build scalable, secure, and high-performance backend systems and services that support Cardless&rsquo;s core financial products
  </li>
  <li>
   Contribute to architectural discussions and decisions to evolve our platform as we grow
  </li>
  <li>
   Take ownership of projects from design through production &mdash; including requirements gathering, implementation, testing, deployment, and ongoing maintenance
  </li>
  <li>
   Collaborate cross-functionally with product managers, designers, other engineers, and stakeholders (external partners, risk, compliance) to deliver high-quality features quickly and reliably
  </li>
  <li>
   Identify and drive improvements in system reliability, observability, performance, and developer experience
  </li>
  <li>
   Provide technical guidance and thought partnership to peers across the engineering organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience designing and implementing backend systems and services that operate at scale (typically 5+ years of industry experience)
  </li>
  <li>
   Solid understanding of distributed systems, APIs, databases, and infrastructure fundamentals
  </li>
  <li>
   Proficiency with a modern backend language (e.g. Java, Python) and ecosystem
  </li>
  <li>
   Track record of delivering complex technical projects end-to-end, collaborating effectively with cross-functional partners
  </li>
  <li>
   Deep, low-level expertise in one or more backend domains (e.g., databases, scaling systems, distributed systems)
  </li>
  <li>
   Passion for building robust, maintainable systems that have real-world impact for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience building and maintaining external, public-facing APIs
  </li>
  <li>
   Familiarity with financial systems, reconciliation workflows, or data integrity challenges
  </li>
  <li>
   Exposure to ML pipelines or feature stores
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Cardless
  <br/>
  <br/>
 </strong>
 You&rsquo;ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We&rsquo;re building products that enable leading brands to offer credit in new ways &mdash; and we&rsquo;re just getting started.
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 <strong>
  Note: This role is open to experienced (senior/staff+) engineers only
  <br/>
  <br/>
 </strong>
 This role has an annual starting salary range of $165,000-$260,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.
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 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:
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 💸 Meaningful Start-up equity
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 🏥 100% health, vision &amp; dental primary coverage
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 ➕ 75% health, vision &amp; dental dependent coverage
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 🍱 Catered lunches
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 🚎 $250/month Commuter benefit
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 👶 Parental leave
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 <br/>
 ✈️ Team building events &amp; happy hours
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 🌴 Flexible PTO with a minimum of 15 days off per year
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 🖥️ Apple equipment
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 💸 401k plan
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 <strong>
  Location
  <br/>
  <br/>
 </strong>
 We're headquartered in San Francisco, CA, with a beautiful office in the Mission District (near Dolores Park). We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.
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 <br/>
 We regularly bring our team together for offsites &amp; trips, about every 2 months, both for fun and for work. We cover all travel &amp; lodging in these cases.
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</div>


Software Engineer - Backend

Broccoli AI

<div>
 <strong>
  About Broccoli AI
  <br/>
  <br/>
 </strong>
 Broccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.
 <br/>
 <br/>
 Backed by top VCs, we closed a $25M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.
 <br/>
 <br/>
 Why Join Us
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 <br/>
 <ul>
  <li>
   Make an Impact Early: Launch real features within your first few weeks that get used by real businesses.
  </li>
  <li>
   Define a Category: Help shape how AI employees run the $600B home services market.
  </li>
  <li>
   Speed Matters: We move fast&mdash;shipping in weeks, not quarters.
  </li>
  <li>
   Grow with the Best: Learn directly from experienced founders and engineers who&rsquo;ve built and scaled successful startups before.
  </li>
  <li>
   Collaborative, High-Energy Environment: Work in-office with a small, mission-driven team building world-class AI.
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain components of our AI agent platform, internal tools, and backend systems
  </li>
  <li>
   Develop and test APIs and integrations with external platforms like ServiceTitan
  </li>
  <li>
   Participate in the full product cycle: idea &rarr; prototype &rarr; production
  </li>
  <li>
   Improve agent intelligence and voice performance in real time
  </li>
  <li>
   Collaborate with senior engineers to deliver high-impact features and maintain code quality
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For
 <br/>
 <br/>
 <ul>
  <li>
   1+ year of experience as a software engineer (backend, frontend, or full-stack)
  </li>
  <li>
   Strong understanding of software fundamentals (data structures, APIs, version control, etc.)
  </li>
  <li>
   Excitement to learn fast and contribute across the stack
  </li>
  <li>
   Thrive in a fast-paced, startup-like environment where ownership and initiative matter
  </li>
  <li>
   Excellent communication and teamwork skills
   <br/>
   <br/>
  </li>
 </ul>
 Bonus Points If You Have:
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 <ul>
  <li>
   Experience with AI tools, real-time systems, or telephony
  </li>
  <li>
   Exposure to frameworks like Node.js, Python, or TypeScript
  </li>
  <li>
   Familiarity with LLMs or interest in AI development
   <br/>
   <br/>
  </li>
 </ul>
 Perks
 <br/>
 <br/>
 <ul>
  <li>
   Top-of-market salary + meaningful equity
  </li>
  <li>
   Build cutting-edge AI that helps real people daily
  </li>
  <li>
   Beautiful office in South Park, San Francisco
  </li>
  <li>
   High-trust, ambitious team, led by repeat founders
  </li>
  <li>
   On-site collaboration 6 days/week&mdash;we believe the best ideas happen in person
   <br/>
   <br/>
  </li>
 </ul>
</div>


Junior Software Engineer

JITX

<div><div><div>Principal Full Stack Software Engineer</div><div></div><div><br>
About JITX</div><div></div><div><br>
JITX is revolutionizing circuit board design by making it code-first. Instead of dragging components around in a GUI, engineers write code&mdash;or have AI write it for them&mdash;to define their circuit boards. We're a ~20-person startup building tools that bring software engineering practices to hardware design.</div><div></div><div><br>
The Role</div><div></div><div><br>
We're looking for a principal engineer who can drive technical direction for significant product areas and own them end-to-end. You'll work across our stack&mdash;from user management systems to our core design application&mdash;making architectural decisions that shape how electrical engineers interact with our product for years to come.</div><div></div><div><br>
As a principal engineer, you'll be expected to identify technical debt, propose solutions, and drive consensus around the right path forward. Your first major project will be reworking our user and license management system, which you'll architect and largely implement while coordinating with stakeholders across the company. As you ramp up and build context on our domain, you'll transition to working on critical core runtime components that power our circuit design engine.</div><div></div><div><br>
Beyond your individual contributions, you'll raise the bar for engineering across the team&mdash;through code reviews, technical mentorship, and establishing patterns that others can follow.</div><div></div><div><br>
What You'll Work On</div><div></div><div><br>
User Management Platform</div><ul><li>TypeScript/React frontend</li><li>Python application server</li><li>Database backend currently in PostgreSQL</li><li>Integration with modern auth solutions (WorkOS or similar)</li></ul><div></div><div><br>
Graphical User Interface Application</div><ul><li>Electron based React/TypeScript application</li><li>Custom input handling and rendering (not traditional HTML elements)</li><li>Advanced visualization using PixiJS, with potential migration to WebGL/Three.js</li><li>Complex CSS/styling for polished UI/UX</li></ul><div></div><div><br>
Application Runtime &amp; Architecture</div><ul><li>Algorithm-heavy runtime with complex computational geometry problems</li><li>User-facing Python API for programmatic circuit board design</li><li>Sophisticated architecture driving the application life cycle</li><li>Opportunity to rearchitect core systems to leverage parallel computing and modern hardware capabilities</li><li>Deep technical challenges requiring strong CS fundamentals and architectural vision</li></ul><div></div><div><br>
What We're Looking For</div><div></div><div><br>
Must-haves:</div><ul><li>Extensive full stack experience with TypeScript/React and Python, with a track record of architectural decisions at scale</li><li>Strong algorithmic problem-solving skills with understanding of complexity analysis, graph/tree data structures, and computational efficiency</li><li>Ability to drive technical direction and follow through on architectural decisions across the stack</li><li>Experience identifying technical debt, evaluating tradeoffs, and building consensus around solutions</li><li>Self-directed work style with strong product sense and ability to unblock yourself and others</li><li>Experience gathering requirements from stakeholders and translating them into technical solutions and system designs</li><li>Track record of owning large, complex features from planning through production</li><li>Ability to mentor and raise technical standards across a team through code reviews and establishing best practices</li><li>Comfortable working with ambiguity in a startup environment</li></ul><div></div><div><br>
Nice-to-haves:</div><ul><li>Experience with graphics/visualization libraries (PixiJS, Three.js, WebGL)</li><li>Background in developer tools or technical products</li><li>MongoDB and PostgreSQL experience, or other databases</li><li>Auth/identity management systems (WorkOS, Auth0, etc.)</li><li>Polyglot programming experience&mdash;comfortable across multiple languages and paradigms</li><li>Interest in hardware, electronics, or CAD tools</li></ul><div></div><div><br>
Who You Are</div><div></div><div><br>
You're a veteran software engineer who's worked across multiple environments and knows that early-stage startups offer the best combination of impact and interesting problems to solve.</div><div></div><div><br>
You have a nose for bottlenecks&mdash;you spot where things are getting stuck and jump in to help get features across the finish line. You're naturally curious about architecture, always tinkering to find proactive improvements that can ship quickly. You move fluidly across the codebase and the team, bringing speed without sacrificing quality.</div><div></div><div><br>
Your algorithmic problem-solving is strong and you don't shy away from maths and logic. You're comfortable reasoning about complexity at various levels of abstraction, working with graph and tree structures, and finding elegant solutions to hard computational problems.</div><div></div><div><br>
You're responsible with your craft. You plan, you test, you own large features end-to-end. You think about staging, reliability, and production-readiness from the start, not as an afterthought.</div><div></div><div><br>
At a principal level, you're also a multiplier. You make the engineers around you better through thoughtful code reviews, clear technical communication, and by establishing patterns that scale beyond your own code. You know when to dive deep into implementation and when to step back and focus on architecture and direction.</div><div></div><div><br>
You thrive when given ownership of a problem space. You're the person who asks &quot;why are we building this?&quot; before diving into &quot;how should we build it?&quot; You don't need your hand held, but you're not afraid to raise your hand when you need context or when you spot a problem with the plan.</div><div></div><div><br>
Why JITX?</div><div></div><ul><li><br>
Work on genuinely novel problems at the intersection of software and hardware</li><li>Small team where your work has immediate, visible impact</li><li>Help shape the future of how hardware gets designed</li><li>Collaborate with a team that cares deeply about craft and elegant solutions</li></ul></div>
<div><div>$150,000 - $250,000 a year</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Principal Full Stack Software Engineer

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