principal ai engineer Jobs in San Francisco

principal ai engineer

account director (ai / emerging tech) Jobs in San Francisco

account director (ai / emerging tech)

ai content specialist Jobs in San Francisco

ai content specialist

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai research engineer Jobs in San Francisco

ai research engineer

artificial intelligence specialist

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)

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - San Francisco, CA, USA

Video Editor, Creative X

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Salesforce

<div>
 
 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.
 
 
 
 Job Category
 
 
 Employee Success
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 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.
 
 
 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.
 
 
 
 The Experience
 
 
 
 We are seeking Contract Talent Attraction Partners (TAP) to join the Futureforce AMER team to support AI Research and AI Builders, Emerging Talent recruitment.
 
 
 Partnering with the Futureforce Talent Delivery team, you will own the candidate journey from initial engagement to pipeline delivery, attracting and assessing a diverse talent pool across various channels while ensuring a seamless experience for all stakeholders.
 
 
 
 What You'll Actually Be Doing
 
 
 
 <ul>
 <li>
 Attract and engage candidates across all channels &mdash; including inbound applicants, referrals, outbound sourced candidates, and candidates from campus events and partnerships
 </li>
 <li>
 Plan, coordinate, and execute in-person and virtual recruiting events, including content development, logistics, and stakeholder engagement
 </li>
 <li>
 Conduct in-depth candidate assessments from all sources, driving an exceptional candidate experience and delivering qualified talent to Recruiting partners
 </li>
 <li>
 Cultivate relationships with candidates for immediate and future opportunities and maintain accurate talent pool records in the CRM to support effective pipeline nurturing
 
 
 </li>
 </ul>
 
 You're Our Person If...
 
 
 
 <ul>
 <li>
 Experience in recruiting, sourcing, or recruiting support, with prior exposure to university or early talent hiring
 </li>
 <li>
 Demonstrated ability to manage multiple priorities and deliver against goals in a fast-paced, matrixed environment
 </li>
 <li>
 Strong interpersonal and communication skills with experience partnering and influencing stakeholders across teams and functions
 </li>
 <li>
 Champion Salesforce's evolution as an agentic enterprise by applying AI familiarity and data-driven insights to optimize workflows within Workday, Slack, and Google Suite, driving continuous process improvements and high-priority team projects.
 
 
 </li>
 </ul>
 
 Even Better If...
 
 
 
 <ul>
 <li>
 Familiarity with sourcing techniques, tools, and candidate relationship management platforms
 </li>
 <li>
 Experience working across global or cross-regional recruiting teams
 </li>
 <li>
 Background conducting competency-based candidate assessments
 </li>
 <li>
 Experience focused on AI and research PhD hiring efforts
 </li>
 <li>
 Bilingual - fluent in Spanish and English
 
 
 </li>
 </ul>
 ** This is a 6 month contract role. It will be in a hub office where you are expected to be in office at least 3 days/week. This position is ineligible for visa sponsorship. **
 
 
 Unleash Your Potential
 
 
 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
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . 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.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
 
 
 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.
 
 
 Posting Statement
 
 
 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.
 
 
 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.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $75,000 - $113,500 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $90,200 - $124,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Talent Attraction Partner, Futureforce AMER (Contract)

<div>Meta is seeking a Technical Domain Manager (TDM), an IC role responsible for the implementation and deployment of corporate network infrastructure across Meta&rsquo;s office, data center, retail, and POP facility types. This role combines deep technical expertise with project management and hardware logistics to drive infrastructure from design through construction and build delivery, with a focus on technical problem-solving, standards development, and hands-on project execution. The TDM partners closely with internal customers to understand requirements and deliver solutions that improve connectivity and services across Meta&rsquo;s global portfolio. 
 
 
<h3 class="jobSectionHeader">Technical Domain Manager - Retail Responsibilities:
 
</h3><ul><li>Lead the implementation and deployment of network infrastructure for new builds, retrofits, and expansions across office, data center, retail, and POP facility types</li><li>
Collaborate with network engineering, workplace design and engineering, and connectivity teams to develop comprehensive network infrastructure design packages tailored to each building type</li><li>
Apply technology standards throughout the design phase and ensure consistent application across all facility verticals including retail environments with unique connectivity requirements</li><li>
Act as a subject matter expert (SME) for physical network infrastructure design &mdash; structured cabling, fiber optic systems, and wireless &mdash; across diverse facility types</li><li>
Use drafting software to produce and markup architectural/technology drawings with electrical and data symbols aligned to Meta design standards</li><li>
Influence future iterations of facility and network designs to ensure seamless integration of new infrastructure and enable scalability</li><li>
Consult with Design Engineering/SMEs for non-standard spaces including retail environments, specialized labs, and unique build-out configurations</li><li>
Partner with engineering teams to ensure fiber infrastructure management tools accurately reflect design intent and capture infrastructure changes</li><li>
Drive all aspects of network construction and deployment including new sites, retrofits, and build-outs across office, data center, retail, and POP facilities</li><li>
Provide hands-on technical leadership during analysis, design development, construction, testing, commissioning, and handover phases</li><li>
Perform site visits and work cross-functionally with construction teams, design architects, and contractors to validate infrastructure builds according to Meta's standards</li><li>
Manage onsite integration for all new builds and retrofits &mdash; removing roadblocks for technicians and contractors during deployment</li><li>
Drive alignment of network technology milestones with build schedules</li><li>
own tracking and reporting of project status</li><li>
Perform testing and commissioning handovers from Meta commissioning technicians and third-party vendors</li><li>
Perform risk management and change management on active projects</li><li>
Develop and track budgets, forecasts, and actuals for network build projects across all facility types</li><li>
Serve as the primary technical interface between network engineering, build, and design teams</li><li>
Work with design and build teams to identify and remedy process gaps, driving continuous improvement in delivery methodologies</li><li>
Build and nurture relationships with key stakeholders, partners, and vendors across the build and technology ecosystem</li><li>
Manage end-to-end hardware procurement lifecycle &mdash; from specification and vendor selection through purchase orders, delivery tracking, and warehouse coordination</li><li>
Own hardware logistics including inventory management, staging, shipping to site, and ensuring materials arrive aligned with build schedules</li><li>
Coordinate with vendors and supply chain partners to resolve lead time issues, backorders, and hardware substitutions</li><li>
Perform logical network bootstrapping functions to ensure internal tools reflect network hardware and circuits</li><li>
Identify operational pain points and opportunities to improve business practices</li><li>
Initiate and lead strategic initiatives that drive efficiency, innovation, and standardization through coding and automation</li><li>
Maintain technical references, processes, and training documentation</li><li>
Provide day-to-day project coordination and quality assurance across active deployments and tasks</li><li>
Manage project schedules, dependencies, and milestones across multiple concurrent builds</li><li>
50% of travel required based on project demand</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
5+ years of work experience with designing and deploying large-scale Office/Data Center network infrastructure</li><li>
Demonstrated knowledge of structured cabling and fiber optic infrastructure, including design and installation best practices, industry standards, applications, and limitations</li><li>
Knowledge of the data center/office building architecture and network design, construction, and startup/commissioning processes</li><li>
Experience driving cross-functional collaboration across technical teams through infrastructure project lifecycles</li><li>
Track record of solving problems, setting strategic direction, and executing tactically</li><li>
Working knowledge of internet networking technologies (TCP/IP, routing, switching), and optical transport technologies</li><li>
Knowledge of enterprise and provider-level network hardware platforms (IP + optical)</li><li>
Experience organizing and prioritizing competing workstreams based on impact, deadlines, and stakeholder needs, and communicating project status to technical and non-technical audiences</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Experience delivering network infrastructure projects in diverse facility types (data centers, corporate offices, retail/commercial spaces)</li><li>
Experience working with on-site construction teams and managing contractor and vendor relationships through project completion</li><li>
Knowledge of inside/outside plant cable design, dark fiber builds, and structured cabling for new constructions</li><li>
Experience working on a global team in a matrixed environment with limited supervision</li><li>
Familiarity with retail store technology requirements and unique deployment constraints (smaller footprints, customer-facing environments, accelerated timelines)</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. 
 
$103,000/year to $156,000/year + bonus + equity + benefits 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Technical Domain Manager - Retail

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.
 
 
</div>

Partner Marketing Manager

Explore 18+ Artificial intelligence specialist in San Francisco this August. Find roles across top companies and apply now to boost your career.