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DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Data Plane team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
<h2 class="jobSectionHeader">
What You'll Do:</h2>
<ul><li>Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li>System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li>Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li>Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li>Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.</li>
<li>Flow Control &amp; Load Balancing: Solve the distributed-systems problems unique to LLM serving &mdash; inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead.</li>
<li>Open Source Contributions: Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities.</li>
<li>Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li>Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader">What You'll Bring to DigitalOcean:</h2>
<ul><li>AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT.</li>
<li>Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li>Inference Engine Depth: Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching.</li>
<li>Distributed Inference Fluency: Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL).</li>
<li>Upstream Track Record: Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred.</li>
<li>Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li>Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.</li>
<li>Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li>Open Source Mindset: Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$139,200 - $174,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7624

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Senior Software Engineer I - AI Inference Data Plane

Video Editor, Creative X

CLERA

<div><h3 class="jobSectionHeader">About the role</h3>
Join a bootstrap, early-stage AI-powered recruiting startup as a founding engineer focused on building the intelligence layer that connects candidates with startup opportunities. You&rsquo;ll own recommendation systems, ranking algorithms, and LLM-powered matching to surface high-impact opportunities and drive outcomes for candidates and employers.
<h3 class="jobSectionHeader">What you'll do</h3>
<ul><li>Own the AI/ML stack, including recommendation systems and ranking algorithms.</li>
<li>Develop LLM-powered matching to improve candidate-role alignment.</li>
<li>Collaborate with cross-functional teams to translate product goals into production-ready features.</li>
<li>Deliver end-to-end features with ownership and rapid shipping to production.</li>
<li>Design and maintain production-grade data pipelines and services integrated with the stack.</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Strong computer science fundamentals and a track record of delivering end-to-end product features in a fast-paced startup environment.</li>
<li>Experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects.</li>
<li>Proficiency with TypeScript and React.</li>
<li>Willingness to work in entrepreneurial, hacky environments and in a dedicated coworking/hackerhouse setup.</li>
<li>Open to a 6-day-per-week schedule and ready to contribute in a high-autonomy, early-stage context.</li>
<li>Demonstrates something outstanding about their profile (e.g., strong projects, active GitHub).</li>
</ul><h3 class="jobSectionHeader">Compensation &amp; benefits</h3>
<ul><li>Salary range: 130,000 &ndash; 170,000 USD annually.</li>
<li>Visa sponsorship available.</li>
<li>Notes: compensation and benefits reflect an early-stage, high-growth environment.</li>
</ul><h3 class="jobSectionHeader">Location</h3>

Primary location: San Francisco, CA, United States. On-site with a flexible, startup-friendly structure. Remote work policy: on-site</div>

Senior Founding Engineer (AI/ML)

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 
 
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Backend Software Engineer
 
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design eval pipelines that are reliable, reproducible, and extendable
 </li>
 <li>
 Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
 </li>
 <li>
 Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
 </li>
 <li>
 Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
 </li>
 <li>
 Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
 </li>
 <li>
 Own the full development lifecycle of new backend systems and internal platform capabilities
 </li>
 <li>
 Build with scale and maintainability in mind, while rapidly iterating on new ideas
 
 
 </li>
 </ul>
 
 You Might Be a Great Fit If You Have
 
 
 
 <ul>
 <li>
 4+ years of backend engineering experience at product-driven companies (excluding internships)
 </li>
 <li>
 Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
 </li>
 <li>
 Experience designing and scaling distributed systems, APIs, or data processing pipelines
 </li>
 <li>
 Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
 </li>
 <li>
 Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
 </li>
 <li>
 Experience creating production evals and/or measuring performance of ML/LLM models at scale
 </li>
 <li>
 A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
 
 
 </li>
 </ul>
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $230K - $385K
 
 
</div>

Backend Software Engineer (Evals)

Gap Inc.

<div><h2 class="jobSectionHeader">About Gap Inc.</h2>
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio&mdash;Old Navy, Gap, Banana Republic, and Athleta&mdash;each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.
We&rsquo;re driven by a shared purpose: to bridge gaps&mdash;between people, perspectives, and possibilities&mdash;to create a better world.
We&rsquo;re building a team that performs at a high level&mdash;people who think boldly, take ownership, and turn ideas into impact. If you&rsquo;re ready to learn fast and help shape what&rsquo;s next, you&rsquo;ll fit right in.<div><h2 class="jobSectionHeader">
About the role</h2>
Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Senior Analyst, Pricing Optimization is where that analytical work gets executed. This role is the analytical foundation of Old Navy&rsquo;s pricing function&mdash;the person who runs the day-to-day models, prepares the data, validates outputs from pricing agents, and ensures the team has accurate, well-structured analysis ready to inform every pricing and promotional decision.Reporting to the Manager, Pricing Optimization, you will support the execution of specific pricing and promotional analytics work streams&mdash;preparing data, running models, and applying rigorous quality checks to outputs from pricing agents. You will produce clean, accurate analysis that your manager and team bring to Old Navy&rsquo;s business owners and finance partners. This is an individual contributor role designed for someone who is analytically precise, eager to build their skills in an AI-enabled pricing environment, and ready to be a foundational contributor to a function being built from scratch.<h2 class="jobSectionHeader">
What you'll do</h2>
Execute Pricing Analytics and Data Preparation<ul><li>
Prepare and maintain pricing and promotional data for assigned brand work streams&mdash;pulling, cleaning, and organizing retail data sets so they are accurate, complete, and ready for analysis and modeling.</li><li>
Run pricing models and scenario analyses under the direction of the Manager&mdash;applying elasticity inputs, sensitivity parameters, and promotional variables to generate outputs that are accurate, well-structured, and ready for review.</li><li>
Apply and quality-check outputs from pricing agents across assigned categories&mdash;validating data inputs, flagging anomalies or inconsistencies, and ensuring outputs are accurate before they move forward in the analytical workflow.</li><li>
Support in-season monitoring of pricing actions for assigned work streams&mdash;tracking performance against plan, flagging variances, and surfacing data that helps the team identify risks or optimization opportunities quickly.</li><li>
Use AI reporting tools and pricing platforms as a daily analytical tool&mdash;interrogating outputs with a critical eye, maintaining data integrity, and escalating to the Manager when outputs require additional human review before informing a decision.</li></ul>
Support Analysis and Reporting<ul><li>
Assemble analytical work into clean, well-organized supporting materials&mdash;building the data packages, tables, and summaries that your manager brings to business reviews and stakeholder discussions.</li><li>
Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly business reviews&mdash;ensuring pricing performance across assigned categories is accurately captured and clearly organized for the team to build on.</li><li>
Develop your ability to translate analytical outputs into plain commercial framing&mdash;connecting what the data shows to what it means for margin, revenue, or promotional performance, and communicating that clearly in your deliverables.</li><li>
Respond to analytical requests from the pricing team with accuracy and care, building a track record as someone who can be counted on to deliver clean, well-organized work on time.</li></ul>
Contribute to Building the Pricing Function<ul><li>
Contribute to the ongoing training and refinement of the brand's pricing agents&mdash;documenting instances where outputs fall short, noting patterns in errors or gaps, and sharing observations with the team to improve model performance over time.</li><li>
Help build shared documentation and analytical standards for the team&mdash;capturing what good looks like in data preparation, output validation, and model quality review so that practices are consistent and repeatable as the function grows.</li><li>
Bring a curious, builder&rsquo;s mindset to a function that is being created from scratch&mdash;asking questions, trying new approaches, and actively contributing ideas about how this team&rsquo;s analytical processes can work better as it scales.</li></ul><h2 class="jobSectionHeader">
Who you are</h2>
Experience<ul><li>
Bachelor&rsquo;s degree required.</li><li>
1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field&mdash;including internship or co-op experience in retail or consumer products.</li><li>
Foundational analytical skills and a strong desire to build proficiency in pricing model execution: data preparation, elasticity inputs, sensitivity analysis, promotional effectiveness, and scenario modeling.</li><li>
Experience or an aptitude for working with AI-generated analytical outputs: you are comfortable applying, reviewing, and quality-checking outputs from pricing agents, and you understand the importance of human oversight before outputs inform decisions.</li><li>
Comfort with reporting and analytics platforms; you learn tools quickly, apply them in your day-to-day analytical work, and are motivated to build fluency as new tools are introduced.</li><li>
Demonstrated ability to produce clean, well-organized analytical work&mdash;data that is accurate, clearly structured, and ready for a manager or team to build on and act from.</li></ul>
Leadership &amp; Mindset<ul><li>
Analytically precise: you hold a high personal bar for data accuracy, take ownership of the work you produce, and don&rsquo;t let outputs move forward until you&rsquo;re confident they&rsquo;re right.</li><li>
Commercially curious: you want to understand why the numbers matter, not just how to produce them&mdash;and you actively connect your analytical work to business outcomes like margin, revenue, and promotional performance.</li><li>
Clear and organized communicator: you present data and analysis in a way that is easy to follow&mdash;well-labeled, logically structured, and free of ambiguity about what you&rsquo;re showing and what it means.</li><li>
AI-partnership mindset: you engage with pricing agents and agentic tools with genuine curiosity and appropriate rigor&mdash;applying outputs carefully, asking questions when something doesn&rsquo;t look right, and grounding your work in ethical and brand-aligned judgment.</li><li>
Eager to grow: you bring genuine interest in how pricing, AI, and retail intersect, actively seek to build your skills as the tools and function evolve, and approach your work with a test-and-learn mindset.</li></ul>
Salary Range: $93,700.00 - $121,800.00 
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.</div><h2 class="jobSectionHeader">
Benefits at Gap Inc.</h2>
<ul><li>Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.</li>
<li>One of the most competitive Paid Time Off plans in the industry.*</li>
<li>Employees can take up to five &ldquo;on the clock&rdquo; hours each month to volunteer at a charity of their choice.*</li>
<li>Extensive 401(k) plan with company matching for contributions up to four percent of an employee&rsquo;s base pay.*</li>
<li>Employee stock purchase plan.*</li>
<li>Medical, dental, vision and life insurance.*</li>
<li>See more of the benefits we offer.</li>
</ul><ul><li>For eligible employees</li></ul>
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.</div>

Sr. Analyst Pricing Optimization

Happen Bank

<div>
 Current Employees of Happen Bank: Please apply via your internal Workday Account
 
 
 Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.
 
 
 
 About The Role
 
 
 
 Partnerships are a growing marketing channel for Happen Bank, connecting us with the largest personal finance websites and top brands to attract new borrowers and deliver real value to our members. As the Partner Marketing Manager, you'll help nurture existing partner relationships and support the onboarding of new partners, balancing strategic thinking with hands-on execution. You'll work across Marketing, Product, Credit Risk, Engineering, and Legal/Compliance to keep Happen Bank a competitive, best-in-class solution in the lending space.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Own the day-to-day management and ongoing optimization of partner relationships, including planning, execution, and performance tracking
 </li>
 <li>
 Partner cross-functionally to improve the end-to-end borrower experience, reducing friction and strengthening conversion
 </li>
 <li>
 Support the onboarding and launch of new integrations and campaigns with new and existing partners, coordinating across teams to bring initiatives to market efficiently
 </li>
 <li>
 Build and deliver clear, transparent reporting on performance, project status, insights, and opportunities to internal and external stakeholders
 </li>
 <li>
 Use AI tools to accelerate reporting, data analysis, and content development, applying judgment about where human review still matters
 </li>
 <li>
 Identify opportunities to test, learn, and improve partner performance while balancing business goals with a strong member experience
 </li>
 <li>
 Flag risks or blockers early and work with stakeholders to resolve them
 
 
 </li>
 </ul>
 
 
 About You
 
 
 
 
 <ul>
 <li>
 4+ years of professional experience in partnerships, business development, marketing, or a related field; bachelor's degree in a related field or equivalent work experience
 </li>
 <li>
 Strong interpersonal and relationship management skills, with a collaborative mindset and a genuine interest in building lasting partnerships
 </li>
 <li>
 Comfortable working with data to generate insights and inform recommendations
 </li>
 <li>
 Detail-oriented, with the ability to balance multiple priorities and adapt to evolving needs
 </li>
 <li>
 Effective communicator who is comfortable presenting ideas and updates to a range of stakeholders
 </li>
 <li>
 Self-directed and proactive, while also embracing teamwork and shared success across teams
 </li>
 <li>
 You actively look for ways AI can improve your work, from accelerating analysis to approaching problems from a different angle, while staying thoughtful about accuracy, data sensitivity, and where editorial or human judgment still belongs
 </li>
 <li>
 You're bringing ideas for how the team can work more effectively, including where AI-generated content needs a human check for brand and compliance
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience in financial services or lending
 </li>
 <li>
 Familiarity with affiliate, lead-gen, or partnership marketing models
 </li>
 <li>
 Experience using AI-powered reporting or analytics tools in a marketing context
 
 
 </li>
 </ul>
 
 Work Location
 
 
 
 San Francisco
 
 
 The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.
 
 
 
 Time Zone Requirements
 
 
 
 Local hours (PT)
 
 
 While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
 
 
 
 Travel Requirements
 
 
 
 As needed travel to Happen Bank offices and/or other locations, as needed.
 
 
 
 Compensation
 
 
 
 The target base salary range for this position is 115,000-141,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
 
 
 We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
 Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.
 
 
 We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.
 
 
 
 Notice on AI Tool Use
 
 
 
 For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.
 
 
 You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.
 
 
 During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.
 
 
 We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.
 
 
 We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.
 
 
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Partner Marketing Manager

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