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data scientist, marketing innovation Jobs in San Francisco

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performance marketing manager Jobs in San Francisco

performance marketing manager

data scientist marketing innovation

OpenAI

Careers
 
Data Scientist, Marketing Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.
 
We build product-like systems that: 
Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences
 
Adapt messaging, creative, and outreach using real-time behavioral signals
 
Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop
 
In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms
 
Experience working on operational automation and decision systems (routing, prioritization, optimization)
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$293K – $325K + Offers Equity

Data Scientist, Marketing Innovation

Pinterest

<div><div>About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.</div>
We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. 

What you'll do:
<ul>
<li>Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.</li>
<li>Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.</li>
<li>Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.</li>
<li>Influence Ads Product &amp; Engineering to define the measurement roadmap and integrate science solutions into products and platforms.</li>
<li>Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.</li>
<li>Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.</li>
<li>Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.</li>
<li>Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.</li></ul> 
 
What we're looking for:
<ul>
<li>8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.</li>
<li>5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).</li>
<li>Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).</li>
<li>Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.</li>
<li>Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.</li>
<li>Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.</li>
<li>Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.</li></ul> 


In-Office Requirement Statement:
<ul>
<li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li>
<li>This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.</li> 
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li>
</ul>
#LI-NM4

#LI-REMOTE<div>
Our Commitment to Inclusion:
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div></div></div><div></div>

Staff Data Scientist, Ad Measurement Products

Okta

<div>Get to know Okta 
 
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We&rsquo;re building a world where Identity belongs to you.

As the Senior Director of Marketing Strategy &amp; Operations at Okta, you are the architect of our global growth engine. You are responsible for the infrastructure, processes, and data driven insights that allow our marketing organization to scale predictably and efficiently. You will act as the ultimate &quot;connector,&quot; eliminating silos between Marketing, Sales, and Finance to ensure every dollar spent is tracked, optimized, and aligned with our enterprise revenue goals. You will lead a high-performing organization that is the backbone of our go-to-market strategy.

This is a high impact leadership role requiring a rare blend of strategic vision and &ldquo;high operator&quot; execution. Leading a team of professionals, you will oversee the total marketing lifecycle - from annual planning and budget trade-offs to the technical underpinning of our global MarTech stack. You are a storyteller who can translate complex data into a compelling performance narrative for the C-suite, while maintaining an unrelenting bar for operational rigor and quality.

What you&rsquo;ll be doing
<ul><li>
Strategic Architecture &amp; Planning: Partner with the Marketing Leadership Team (MLT) and Finance to lead annual and quarterly planning. You will drive high stakes budget trade-off discussions, ensuring resources are allocated to the highest impact growth levers</li>
<li>Measurement &amp; Revenue Intelligence: Create the global measurement framework and single source of truth reporting foundation. You will own lead to opportunity mapping, pipeline attribution models, and funnel velocity metrics that inform GTM strategy</li>
<li>Executive Narrative: Distill complex marketing performance data into clear, actionable insights. You will regularly craft the performance narrative for the CMO, connecting marketing activity to business outcomes</li>
<li>Technology &amp; AI Vision: Oversee the evolution of the enterprise MarTech stack. Partner with Technology, Data &amp; Insights (TDI), and our AI Hub and Spoke teams to ensure a cohesive vision for future investment, specifically looking at how AI will innovate and underpin our marketing operation</li>
<li>Operational Excellence, Data Integrity, and Governance: Drive operational rigor and serve as the steward of Marketing data integrity by establishing a trusted data foundation, ensuring systems provide high-fidelity insights, and maintaining rigorous governance standards for accurate executive decision-making and automated marketing motions across the lead-to-opportunity lifecycle.</li>
<li>Frictionless Orchestration: Architect the systems that ensure lead scoring models, automated routing, and cross functional SLAs are seamless and high velocity. Your goal is to eliminate friction between Marketing and Sales, ensuring our enterprise teams act on the right accounts at the right time</li>
<li>Strategic PMO &amp; Alignment with Corporate Strategic Goals and Initiatives: Lead the Marketing PMO to drive execution of our most critical cross functional initiatives. Translating high level corporate goals into actionable project roadmaps and measurable results</li>
<li>Team Leadership: Lead and mentor a multi layered organization, fostering a culture of continuous improvement, transparency, and high performance</li></ul> 


What you&rsquo;ll bring to the role
<ul><li>
The &quot;High Operator&quot;: 12+ years in Marketing or Revenue Operations within a large Enterprise B2B SaaS environment. You have a proven track record of moving an organization from &quot;manual and messy&quot; to &quot;automated and streamlined.&quot;</li>
<li>The Connector: You possess a unique ability to &quot;connect the dots&quot; across the marketing function, identifying how a change in the tech stack affects analytics, which in turn shifts the strategy. With proven experience in breaking down silos in a matrixed, global organization and a strategic business partner to the C-suite and other GTM leaders.</li>
<li>Technical Diplomat: You are as comfortable discussing API integrations and data architecture with Engineering as you are discussing CAC/LTV ratios and ROI with the CFO</li>
<li>Data Driven Storyteller: You don't just report numbers; you provide context. You have a mastery of measurement frameworks, BI tools (Tableau), and advanced attribution modeling</li>
</ul>
Scale Mindset: Experience leading large teams (30+) through periods of rapid growth and transformation, maintaining high morale and clear prioritization under pressure
 Okta&rsquo;s Top 5 Core Leadership Competencies are part of the deeply ingrained principles that guide all of our company&rsquo;s actions. They also align strongly to our cultural cornerstones, our Okta values: love our customers, empower our people, never stop innovating, act with integrity, and maintain transparency. It&rsquo;s our expectation that our managers and leaders embody these core competencies:
<ul><li>Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals.
</li><li>Demonstrates Self-Awareness (EQ): Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.</li>
<li>Develops Talent: Developing people to meet both their career goals and the organization&rsquo;s goals.</li>
<li>Drives Results: Consistently achieving results, even under tough circumstances.</li>
<li>Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.</li></ul> 

#LI-MK1 #LI-hybrid P8406_3362392The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $259,000&mdash;$356,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. 
 
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$231,000&mdash;$318,000 USD
What you can look forward to as a Full-Time Okta employee!
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. 
 
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Senior Director, Marketing Strategy & Operations

Wells Fargo

<div>Job Description: 
<h3 class="jobSectionHeader">
Description</h3>
We are seeking a detail-oriented and analytical Revenue Analyst to join our dynamic finance team. In this role, you will play a critical part in driving the revenue performance of our organization. As a Revenue Analyst, you will be responsible for analyzing revenue streams, monitoring key financial metrics, and providing actionable insights to guide strategic decision-making. You will work closely with various departments, including sales, marketing, and operations, to ensure that our revenue forecasting and reporting are accurate and align with our business objectives. Your expertise in data analysis and financial modeling will enable us to optimize our pricing strategies and improve profitability. Additionally, you will assist in preparing reports that outline revenue trends, variances, and projections, while also identifying opportunities for revenue growth. As a key member of the finance team, you will contribute to the continuous improvement of processes and systems that enhance our revenue effectiveness and efficiency. If you are passionate about using your analytical skills to drive business success and have a keen eye for detail, we would love to hear from you.<h3 class="jobSectionHeader"> 
Responsibilities</h3><ul><li>
Analyze revenue data and trends to identify patterns and anomalies.</li><li>
Prepare accurate and timely revenue reports and forecasts for management.</li><li>
Collaborate with sales and marketing teams to support revenue optimization efforts.</li><li>
Monitor accounts receivable and ensure timely collections of outstanding invoices.</li><li>
Assist in developing pricing strategies and evaluate the impact on revenue.</li><li>
Perform variance analysis between actual results and budget or forecast figures.</li><li>
Research and analyze market trends to provide insights into revenue opportunities.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
Bachelor's degree in finance, accounting, economics, or a related field.</li><li>
2+ years of experience in revenue analysis or related financial analysis positions.</li><li>
Strong analytical skills with a proficiency in data analysis tools and spreadsheets.</li><li>
Experience with financial modeling and forecasting techniques.</li><li>
Excellent communication skills, both written and verbal.</li><li>
Detail-oriented with a strong commitment to accuracy in financial reporting.</li><li>
Ability to work independently as well as collaboratively in a team environment.</li></ul> 
Experience and Skills: 
From: Wells Fargo</div>

Revenue Analyst

ASHBY

<div>About the Job:
I&rsquo;m Kelly, Senior Legal Counsel at Ashby. I joined Ashby recently as the first dedicated legal hire and am now building out the legal team to support our next phase of growth!
After 12 years building and scaling in-house legal teams, I was drawn to Ashby for its ambition, product vision, and the exceptional talent across the company. Working alongside smart, low-ego, high-ownership operators every day is energizing and inspires you to bring your best ideas forward. The Ashby leadership team is decisive and thoughtful, making intentional choices that balance speed, customer focus, and long-term growth.
Ashby builds AI-powered hiring software used by thousands of companies globally, and we have ambitious plans for product expansion. We&rsquo;re looking for someone experienced partnering as the key legal advisor to SaaS product teams who is experienced in privacy law and navigating changing regulations, highly pragmatic and commercial, and excited to be the go-to expert on these issues across the company.
This is a hands-on role - you&rsquo;ll partner deeply with Product and Engineering teams to get ahead of the product roadmap, translating complex legal and regulatory requirements into practical guidance for internal teams, customers and enable the business to move fast. You&rsquo;ll need to be comfortable diving into the details of the product, understanding data flows, and identifying potential issues without slowing progress down. Your role is to solve problems collaboratively, partner on clear and pragmatic solutions, and build scalable approaches that allow Ashby to innovate with confidence.
You&rsquo;ll own and refine our data subject access process and partner closely with Ashby&rsquo;s commercial counsel on privacy and product related questions from prospects and customers. Privacy, data and product counselling will be your core focus but you&rsquo;ll also contribute to other areas of the business, including items such as advising on global expansion, IP, security incidents, corporate governance, employment, and legal operations, and helping shape the foundations of Ashby&rsquo;s growing legal function.
You will be at the heart of product and privacy decisions, working closely with Product, Engineering, Security, and Customer Success. If you thrive in a high-growth, fast-paced environment, enjoy building strong cross-functional relationships, and are motivated by the opportunity to shape a best-in-class legal function while directly enabling responsible product innovation and business success, this role is for you.
Responsibilities<ul><li>
Partner with Ashby&rsquo;s Product Team and individual Product Managers to provide proactive legal advice on new products and features, particularly those involving AI and candidate data, addressing areas such as privacy, PII handling, transparency, bias mitigation, and anti-discrimination/equal opportunity.</li><li>
Own privacy compliance, including global DPA playbooks, privacy policy updates, and working with our DSAR team to streamline responses to data subject requests.</li><li>
Respond to customer security and compliance questionnaires, and develop scalable processes to handle volume.</li><li>
Contribute to the creation of customer-facing compliance documentation, FAQs, and GTM materials in partnership with product, security and marketing.</li><li>
Partner closely with the Ashby Security team to respond to any security incidents, including drafting relevant security related communications.</li><li>
Provide proactive advice by staying up to date on relevant industry regulations and developments, particularly in the regulation of the use of AI in the hiring process across our key regions and privacy law developments e.g., GDPR, EU AI Act, and U.S. federal and state AI/privacy laws.</li><li>
Advise on data practices, data retention, and cross-border data transfers.</li><li>
Support vendor due diligence and negotiations on privacy and compliance terms.</li><li>
Work on a wide range of legal matters as they arise or are proactively identified, including IP, employment, global expansion and fundraising.</li><li>
Help shape the legal function&rsquo;s operations and structure as Ashby continues to grow, including identifying opportunities for innovation through technology.</li></ul>
Qualifications<ul><li>
JD from an accredited law school and active license to practice law in the US (or equivalent qualification in relevant jurisdiction)</li><li>
6-8 years of legal experience with significant focus on product counselling, privacy, and data protection.</li><li>
In-house experience at a fast growing technology company with demonstrated experience in closely supporting internal product teams; pure law firm backgrounds are likely not a fit for this role.</li><li>
Exposure to AI, SaaS, or high-growth technology product environments, including working closely with Product, Engineering, and Security teams.</li><li>
Strong technical curiosity and ability to understand product architecture and features, SaaS platforms, and data flows, enabling practical and actionable legal guidance.</li><li>
Commercial mindset - you understand that legal enables product velocity, not the reverse</li><li>
Excellent written and verbal communication; able to translate complex regulatory requirements into clear guidance and actionable recommendations.</li></ul>
Bonus:<ul><li>
Experience building or scaling a privacy or product legal function.</li><li>
Privacy certifications such as CIPP (US, EU, or APAC), CIPM, or CIPT demonstrating expertise in privacy law or technical/privacy considerations.</li><li>
Experience using legislative and regulatory tracking platforms (e.g., FiscalNote, LexisNexis State Net, Quorum, or similar) to monitor emerging legislation affecting product development and compliance.</li></ul>
You should apply if:<ul><li>
You're pragmatic, commercial and are excited to contribute to growth. You fundamentally view the role of an in-house legal team as a key contributor and cross-functional partner to fuel Ashby&rsquo;s significant growth, rather than as a gatekeeper. You give advice that enables the business to move fast while managing risk appropriately.</li><li>
You see the regulatory environment as an opportunity to shape how a company builds products responsibly, not a compliance burden.</li><li>
You are skilled at building cross-functional relationships. This role will require you to work with many different Ashby teams including product, engineering, security and with some of our 3,700+ customers. Establishing strong relationships, particularly with product team members is crucial to the success of this role.</li><li>
You are proactive, solutions-oriented, and can ruthlessly prioritize. You provide highly commercial and clear legal advice that clearly considers relevant business context and you have strong operational follow-through.</li><li>
You are detail-oriented and want to be the expert. You&rsquo;ll be the go-to person on product and privacy matters at Ashby. Understanding the specifics of our products and business and applying relevant legal advice are critical in this role.</li><li>
You&rsquo;re comfortable evaluating complex situations, sometimes with incomplete or imperfect information, and adapting guidance as new details emerge to recommend practical, actionable next steps aligned with product and business goals.</li><li>
You want ownership. This isn't a role where you'll be handed a playbook. You'll build the compliance program, define the processes, and own the outcomes.</li></ul>
Why you shouldn&rsquo;t apply:<ul><li>
You prefer deep specialization in a single area (e.g., pure privacy) without broader product counseling responsibilities.</li><li>
Your preference is for academic legal and advisory work. We are looking for a lawyer who is primarily focused on driving growth at Ashby, tailors advice and recommendations to our business context and is highly practical.</li><li>
You're most comfortable in environments with established compliance programs and clear regulatory guidance.</li><li>
You have only law firm experience. We need someone who understands the pace and trade-offs of in-house work at a scaling company.</li><li>
You prefer an in-office environment. This is a remote role and is best-suited for self-starters who excel in an independent setting.</li><li>
You&rsquo;re uncomfortable with change. We are a rapidly growing team and company, and the ability to stay flexible and thrive amid change is key to success here.</li><li>
You prefer a very conservative approach to every decision. This role requires balancing risk and opportunity responsibly, providing actionable, business-focused guidance.</li></ul>
About Ashby
We&rsquo;re building the next generation of enterprise software and we&rsquo;re starting with a suite of products that empower talent leaders, recruiters, and hiring managers to be a driving force for revenue &amp; efficiency via a holistic, data-centric talent strategy.
We just raised our series D bringing our total funding to $120m and are backed by great investors, including Alkeon, Lachy Groom Y Combinator and Elad Gil. We have over 2,700+ amazing customers including Snowflake, OpenAI, Shopify, Ramp, Notion, and Zapier (and many others who we cannot name!) and the Ashby team has 220+ people globally.
Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing &gt;100% year over year, very low churn, very high product velocity and many years of runway. We&rsquo;ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role .
Interview Process
Our interview process is thorough - we assess if you are the right fit for Ashby and we will provide ample information for you to determine if Ashby is the right place for you. The process for this role is as follows:<ul><li>
Recruiter Screen with Ashby's Chief of Staff, Katie - 30min</li><li>
Hiring Manager Interview with Ashby's Senior Legal Counsel, Kelly - 45min</li><li>
Practical Assessment</li><li>
Final Round - 2 to 2.5 hours of 30 minute interviews with cross-functional partners</li></ul>
Benefits:<ul><li>
Competitive salary and equity.</li><li>
10-year exercise window for stock options. You shouldn&rsquo;t feel pressure to purchase stock options if you leave Ashby &mdash;do it when you feel financially comfortable.</li><li>
Unlimited PTO with four weeks recommended per year. Expect &ldquo;Vacation?&rdquo; in our one-on-one agenda until you start taking it .</li><li>
Twelve weeks of fully paid family leave in the US. We plan to expand this to employees in other countries as situations arise.</li><li>
Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!</li><li>
$100/month education budget with more expensive items (like conferences) covered with manager approval.</li><li>
If you&rsquo;re in the US, top-notch health insurance for you and your dependents with all premiums covered by us.</li></ul>
Ashby&rsquo;s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We&rsquo;re being deliberate about building that environment from the ground up. I hope that excites you enough to apply.
Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Compensation Range: $200K - $250K</div>

Legal Counsel (Product and Privacy)

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Cargomatic

<div>Senior Data Architect &ndash; Data Engineering

Location: San Francisco, CA 
Reports To: VP of Engineering 
FLSA Status: Exempt 
Employment Type: Full-Time 
Compensation: $140,000 &ndash; $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture &amp; Engineering
<ul>
<li>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
</li>
<li>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
</li>
<li>Define standards for data governance, reliability, performance, and cost optimization
</li>
<li>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)
</li>
</ul>AI &amp; LLM-Enabled Systems
<ul>
<li>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
</li>
<li>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
</li>
<li>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
</li>
<li>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks
</li>
</ul>Backend &amp; API Development
<ul>
<li>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
</li>
<li>Ensure observability, monitoring, and cost controls across AI and data services
</li>
<li>Contribute to microservices architecture and distributed system design
</li>
</ul>Collaboration &amp; Leadership
<ul>
<li>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
</li>
<li>Mentor junior engineers and contribute to architectural standards and best practices
</li>
<li>Drive innovation in data engineering and AI-powered logistics systems
</li>
</ul>Qualifications
<ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience
</li>
<li>8+ years of software or data engineering experience in production environments
</li>
<li>Strong expertise in data modeling, distributed systems, and scalable cloud architectures
</li>
<li>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
</li>
<li>Advanced SQL skills and deep understanding of modern storage formats
</li>
<li>Proficiency in Python and RESTful API development
</li>
<li>Experience integrating LLM APIs into production applications
</li>
<li>Strong understanding of system reliability, observability, and cost management in cloud environments
</li>
</ul>Desired Experience
<ul>
<li>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
</li>
<li>Experience designing multi-agent or agentic AI workflows with orchestration frameworks
</li>
<li>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
</li>
<li>Experience with microservices architecture and distributed system design
</li>
<li>Exposure to transportation, logistics, or supply chain domains
</li>
<li>Active GitHub contributions or demonstrated passion for emerging AI and data technologies
</li>
</ul>Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:
<ul>
<li>Medical, Dental, and Vision insurance
</li>
<li>401(k) with company match
</li>
<li>Flexible Spending Accounts (FSA)
</li>
<li>Company-paid Life and Disability insurance
</li>
<li>Flexible Paid Time Off (PTO) and company holidays
</li>
<li>Paid Parental Leave
</li>
<li>Employee Assistance Program (EAP)
</li>
<li>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
</li>
<li>Collaborative, high-impact team environment
</li>
</ul>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</div>

Data Engineer

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