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senior lead software engineer

Tamarind Bio

<div><h1 class="jobSectionHeader"><b>About Tamarind Bio</b></h1><p>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.</p><p>
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.</p><p><b>
Staff Software Engineer / Technical Lead</b></p><p>
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.</p><p>
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.</p><p>
This is not an engineering management role.</p><p>
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.</p><p>
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.</p><p><b>
What You'll Do</b></p><ul><li><p>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</p></li><li><p>
Provide technical guidance across a team of 7-8 engineers</p></li><li><p>
Lead design reviews and architectural discussions</p></li><li><p>
Help engineers navigate complex technical challenges</p></li><li><p>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</p></li><li><p>
Review code and provide feedback on implementation approaches</p></li><li><p>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</p></li><li><p>
Support technical decision-making across new products and platform capabilities</p></li><li><p>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</p></li><li><p>
Help establish engineering standards as the team continues to grow</p></li></ul><p><b>
Week in the Life</b></p><ul><li><p>
Collaborate with the CTO on technical priorities and architectural decisions</p></li><li><p>
Review designs and provide guidance on implementation approaches</p></li><li><p>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</p></li><li><p>
Participate in code reviews and technical discussions</p></li><li><p>
Help unblock engineers working through difficult technical problems</p></li><li><p>
Work directly with customers to understand requirements and gather feedback</p></li><li><p>
Balance hands-on engineering work with technical leadership responsibilities</p></li></ul><p><b>
Ideal Qualifications</b></p><ul><li><p>
7+ years of software engineering experience</p></li><li><p>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</p></li><li><p>
Strong software architecture and distributed systems experience</p></li><li><p>
Experience building and operating production infrastructure and cloud services</p></li><li><p>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</p></li><li><p>
Ability to mentor engineers and provide technical guidance across multiple projects</p></li><li><p>
Strong communication skills and sound engineering judgment</p></li><li><p>
Comfort operating in an early-stage startup environment</p></li><li><p>
Willingness to work onsite in San Francisco</p></li></ul><p><b>
Technology</b></p><p>
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.</p><p>
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.</p><p></p><p>
Compensation Range: $150K - $250K</p></div>

Staff Software Engineer / Technical Lead

Roblox

<div><div><p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences&ndash; all created by our global community of developers and creators.</p>
<p>
At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.<b> </b>We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>
<p>
A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p></div><p><b>
What You'll Do:</b></p>
<p>
As a Senior Software Engineer on the Creator Business team, you will help drive a healthy and ever-growing creator economy at Roblox. Our mission is to help Creators efficiently operationalize their revenue so they can invest in and grow their business. The team works on complex areas such as monetization analytics, revenue reporting, payouts, and taxes, requiring penny-perfect accuracy and zero defects.</p>
<p>
We are looking for someone who can work with product managers and data science on end-to-end requirements to develop and maintain a scalable, secure, and reliable platform for our creators to thrive. As we are responsible for a large portion of the company's revenue, you will drive projects with high impact and visibility.</p>
<p><b>
You will:</b></p>
<ul>
<li>Develop remarkable products and systems that will delight our users</li>
<li>Work with the product, data science, and design to help refine requirements</li>
<li>Contribute to or drive the overall end to end system design</li>
<li>Have the opportunity to push the boundaries of what's next for the company</li>
<li>Help recruit future talent for the team</li>
</ul>
<p><b>You Have:</b></p>
<ul>
<li>5+ years of experience developing consumer-facing products</li>
<li>Proficiency in building and scaling data pipelines</li>
<li>Experience with distributed systems, API design, and microservices architecture</li>
<li>Bachelor's degree in Computer Science, Computer Engineering, or a similar technical field</li>
</ul><div><p>
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>
<p>
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.</p>
<p>
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.</p></div></div>

Senior Software Engineer - Creator Business

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p>Applications will be accepted until 07/15/2026.
<p></p><p>Join Salesforce's brand-new IT Employee Success and Finance Platform and Innovations team &mdash; a greenfield engineering org built from the ground up since early 2026 to define the data foundation powering HR and Finance at global scale. Based in San Francisco, CA; Indianapolis, IN; Denver, CO; New York, NY; or Atlanta, GA, you will serve as the technical authority for our Workday integration ecosystem, architecting the pipelines that make employee and financial data available, accurate, and ready for agentic use cases across Salesforce.
</p><p></p><h2 class="jobSectionHeader"><b>What You'll Actually Be Doing
</b></h2><ul><li>Architect and govern the integration landscape between Workday and Salesforce's broader enterprise ecosystem &mdash; designing scalable, secure, high-throughput pipelines that treat PII and SOX-regulated data with zero tolerance for error.
</li><li>Translate complex HR and Finance business strategies into reusable, well-documented integration platforms that make the entire engineering organization more efficient and capable of supporting agentic workloads.
</li><li>Partner with HR and Finance business stakeholders to define data integrity standards, validate integration accuracy, and drive adoption of engineering excellence practices including modern CI/CD for SaaS and robust testing automation.
</li><li>Mentor lead and staff engineers, lead architectural review processes, and establish guardrails that raise the technical bar across the team as the platform scales.
</li></ul><p></p><h2 class="jobSectionHeader"><b>You're Our Person If&hellip;
</b></h2><ul><li>You have 10 or more years of software engineering experience, including at least 2 years in a technical lead or staff capacity, with a strong track record of building SaaS-to-SaaS integrations and custom middleware/APIs bridging legacy and modern enterprise systems.
</li><li>You have deep experience handling high-stakes financial or HR data &mdash; you understand that a 1% data mismatch in Finance or HR is a 100% failure, and you architect accordingly with SOX compliance and auditability at the center.
</li><li>You think in platforms, not features &mdash; your work emphasizes reusability, documentation, and consistent engineering patterns that downstream consumers can trust.
</li><li>You are a skilled communicator who can partner with non-technical business stakeholders, influence engineering direction without direct authority, and drive alignment across cross-functional teams.
</li><li>A related technical degree required.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Even Better If&hellip;
</b></h2><ul><li>You have direct hands-on experience with Workday (Extend, Orchestration, Integration Studio, or similar tools).
</li><li>You have worked in a FinTech or highly regulated industry where audit trails and compliance are non-negotiable.
</li><li>You are familiar with the Salesforce ecosystem &mdash; including MuleSoft, Data Cloud, or Slack &mdash; and understand how to connect Workday data into these platforms.
</li><li>You have experience standing up new platform teams or programs from scratch, including defining standards and onboarding engineering contributors.
</li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Software Engineer, ES & Finance Platform

Plaid

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco HQ; Seattle Office</p>
</div><div><h2 class="jobSectionHeader"><b>Address</b></h2>
<p>1098 Harrison Street, San Francisco, California, 94103</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>All DepartmentsEngineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>Zone 1$190.8K &ndash; $262.8K</li>
</ul><div><p>The target base salary for this position ranges from $190,800/year to $262,800/year in Zone 1. The target base salary will vary based on the job's location.</p>
<p>Our geographic zones are as follows:</p>
<p>Zone 1 - San Francisco / New York City / Seattle</p>
<p>Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego</p>
<p>Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh</p>
<p>Zone 4 - All other US cities</p>
<p>The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</p></div></div></div>
<br><div><div><p>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</p>
<p>Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.</p>
<p>Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li><p>Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid</p>
</li><li><p>Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.</p>
</li><li><p>Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.</p>
</li><li><p>Debugging, troubleshooting, and reducing operational burden for our Data Platform.</p>
</li><li><p>Growing the team via mentorship and leadership, reviewing technical documents and code changes.</p>
</li></ul><p></p><p><b>Qualifications</b></p>
<ul><li><p>5+ years of software engineering experience</p>
</li><li><p>Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.</p>
</li><li><p>Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.</p>
</li><li><p>Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.</p>
</li><li><p>Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.</p>
</li><li><p>Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.</p>
</li><li><p>[Nice to have] Experience with Databricks, Airflow, AWS EMR</p>
</li></ul><p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</p>
<p>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.</p><br>
<p></p>
<p>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</p></div></div><p></p>

Senior Software Engineer - Data Infrastructure

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco HQ; Seattle Office</p>
</div><div><h2 class="jobSectionHeader"><b>Address</b></h2>
<p>1098 Harrison Street, San Francisco, California, 94103</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>All DepartmentsEngineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>Zone 1$190.8K &ndash; $262.8K</li>
</ul><div><p>The target base salary for this position ranges from $190,800/year to $262,800/year in Zone 1. The target base salary will vary based on the job's location.</p>
<p>Our geographic zones are as follows:</p>
<p>Zone 1 - San Francisco / New York City / Seattle</p>
<p>Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego</p>
<p>Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh</p>
<p>Zone 4 - All other US cities</p>
<p>The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</p></div></div></div>
<br><div><div><p>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</p>
<p>Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company.</p>
<p>Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset.</p>
<p>You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li><p>Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.</p>
</li><li><p>Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company.</p>
</li><li><p>Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse.</p>
</li><li><p>Well-documented data with defined dataset quality, uptime, and usefulness.</p>
</li></ul><p></p><p><b>Qualifications</b></p>
<ul><li><p>4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.</p>
</li><li><p>You&rsquo;ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)</p>
</li><li><p>You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.</p>
</li><li><p>You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.</p>
</li><li><p>You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka.</p>
</li><li><p>You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.</p>
</li><li><p>You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.</p>
</li><li><p>You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure.</p>
</li><li><p>You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.</p>
</li><li><p>You are a champion for data privacy and integrity, and always act in the best interest of consumers.</p>
</li></ul><p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</p>
<p>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.</p><br>
<p></p>
<p>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</p></div></div><p></p>

Senior Data Engineer - Data Engineering

David Joseph & Company

<div><h2 class="jobSectionHeader"><b>Founding Engineer &mdash; Confidential (AI Startup, YC/a16z-Backed)</b></h2><p><b>
Location:</b> San Francisco, CA (Onsite, 5 days/week)<br>
<b>Compensation:</b> $180,000 &ndash; $225,000 base + 1.0% &ndash; 1.5% equity<br>
<b>Visa Sponsorship:</b> Available &mdash; visa transfers supported | Relocation support available<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
About the Company</b></h3><p>
A well-funded AI startup building a new paradigm for software creation &mdash; using AI agents to autonomously create and operate specialized software products at scale. Founded in 2026, the company has raised $5.5M from a16z and other top-tier investors and is building out its founding engineering team of 5&ndash;7 engineers. The founding team has previously scaled companies to $20M ARR.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
This is a founding engineering role for a generalist full-stack engineer who loves building from zero. You will ship micro apps weekly to real users, encode your processes into increasingly automated workflows, and run rapid experiments with the founding team. All engineers report directly to the founder and CEO.</p><h3 class="jobSectionHeader"><b>
What You'll Own</b></h3><ul><li>
Build and ship micro apps every week with real users, encoding your processes into increasingly automated workflows</li><li>
Work in close collaboration with the founding team</li><li>
Run rapid experiments and decisively double down on what works while cutting what doesn't</li></ul><p><b>
Tech stack:</b> Full-stack, AI &mdash; Python, JavaScript, Kotlin, Go (flexible on language)</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
1&ndash;5 years of software engineering experience building AI-driven products</li><li>
Experience shipping products or features from ideation to real users with significant traction</li><li>
Proficiency in agentic development &mdash; designing and building orchestration pipelines across multiple agents, tools, and services</li><li>
Full-stack proficiency with a backend focus</li><li>
Active user of modern AI tooling (e.g. Claude Code, Cursor, or similar)</li><li>
At least one clear signal of excellence &mdash; hackathon wins, side projects with significant traction, impressive fellowships, YC founder background, etc.</li><li>
Bachelor's degree in Computer Science or a related technical field</li><li>
Must be based in or willing to relocate to San Francisco</li></ul><h3 class="jobSectionHeader"><b>
Preferred</b></h3><ul><li>
Previous founder or early-stage startup experience &mdash; YC or a16z alum backgrounds a strong plus</li><li>
Degree from a top-tier university (Berkeley, Stanford, CMU, or equivalent)</li></ul><h3 class="jobSectionHeader"><b>
This Role Is NOT For</b></h3><ul><li>
Pretraining or fine-tuning ML researchers &mdash; this is applied agentic engineering, not model training</li><li>
Pure Big Tech careers with no side project, startup, or scrappy chapter</li><li>
Candidates with a pattern of short tenures across multiple companies</li></ul><h3 class="jobSectionHeader"><b>
Interview Process</b></h3><ul><li>
Application review</li><li>
Intro screen (45 min) &mdash; technical depth, past projects, judgment, and founder fit</li><li>
Pair coding session (60 min) &mdash; live coding, no AI tools; CS fundamentals and algorithmic reasoning</li><li>
Onsite (~4 hours) &mdash; agentic coding session, system design, and behavioral/founder-fit conversation</li><li>
Offer</li></ul><h3 class="jobSectionHeader"><b>
Logistics</b></h3><ul><li>
Role is <b>fully onsite in San Francisco (SoMa) &mdash; 5 days/week</b></li><li>
Relocation support available</li><li>
Visa sponsorship available</li></ul><p>
Shortlisted candidates will be contacted by <b>David Joseph &amp; Co.</b>, the recruiting partner managing this search.</p></div>

Founding Engineer — Confidential

Cognition

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  We are an applied AI lab building end-to-end software agents.
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 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
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 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
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 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
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 <strong>
  About The Role
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 </strong>
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
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   There are multiple openings across various teams: GTM, Core Product, and Finance.
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  </strong>
 </em>
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  In This Role You Will
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 </strong>
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  <li>
   Design and manage database architecture and data models
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   Build and maintain ETL/ELT pipelines and orchestration workflows
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   Create and manage new data integrations across internal and external systems
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   Own business reporting: datasets, dashboards, metrics, and self-serve analytics
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   Ensure data quality, observability, governance, and documentation
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  </li>
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 <strong>
  Requirements For The Role
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 </strong>
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  <li>
   4+ years in a data engineering, data science, or full-stack data role
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   Expert on SQL and Python (required)
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   Experience with data modeling, warehouse architecture, and BI-oriented schema design
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   Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
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   Experience building or maintaining BI reporting (Metabase a plus)
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   Experience developing scalable backend heavy applications
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   Strong knowledge of statistics and experimentation
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   Based in SF or NYC
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  </li>
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 Equal Opportunity
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 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>


Data Engineer

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