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data analyst, teams - san francisco

data engineer

senior data scientist

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

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Job Summary:
We are seeking a highly skilled results-oriented product leader to join our team as a Senior Product Manager on our Data Compass team, leading Data Marketplace. Data Compass is the heart of GEICO&rsquo;s data ecosystem. Housed within the Data &amp; ML team, Data Compass delivers exceptional experiences that enable users to quickly and intuitively discover trusted data and data products they can use with confidence. Data Marketplace is a new enterprise-wide product available though Data Compass that will list all available data products and enable users to create, select, provision, and analyze data in secure, purpose-specific containers. The system will incorporate privacy assessment workflows, AI-powered recommendations, and collaborative features to maximize value and compliance.
The successful candidate will have a strong background in product management, demonstrate customer-backed thinking, be technically conversant, and exhibit excellent communication and leadership skills. The Senior Product Manager will work closely with stakeholders to identify the highest-priority use cases to be solved, be responsible for crafting the product vision, develop and execute the product roadmap, and collaborate with cross-functional teams to deliver high-quality features that meet the evolving needs of users across GEICO.
This position is hybrid requiring 2-3 days in office per week in either Palo Alto, CA or Chevy Chase, MD.
Key Responsibilities:<ul><li>
Engage with users and stakeholders to deeply understand their needs, pain points, and workflows.</li><li>
Develop and execute a product vision that aligns with business goals, customer needs, and market trends.</li></ul><ul><li>
Create and maintain a product roadmap that prioritizes features and capabilities based on customer value, business impact, and technical feasibility.</li><li>
Write clear product requirements, providing context about the intended users, problems being solved, hypothesis (about value to be delivered), current versus new process/workflows. Define clear acceptance criteria for features.</li><li>
Work closely with cross-functional teams, including engineering, design, and program management, to ensure seamless product delivery.</li><li>
Balance customer values, technical complexity, and business impact when making product decisions.</li><li>
Communicate product plans, progress, and outcomes to stakeholders, including executives, customers, and team members.</li><li>
Manage and own business goals through measurable outcomes such as feature adoption, engagement, churn reduction, or revenue growth. Use data and metrics to inform product decisions, measure progress, and drive continuous improvement.</li><li>
Stay abreast of latest developments in Data Governance to regularly reassess your products and services, repositioning them as necessary.</li><li>
Contribute to product culture and best practices within the team or organization.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree.</li><li>
5+ years of experience in product management, with a track record of delivering successful products in a fast-paced environment.</li><li>
Proven analytical and problem-solving abilities, with a data-driven approach to decision-making.
</li><li>Ability to collaborate effectively with cross-functional teams to deliver business impact.</li><li>
Experience working with Agile methodologies and tools such as JIRA or Azure DevOps.
</li><li>Must be able to communicate effectively verbally and in writing, to both technical and non-technical audiences.</li></ul><ul><li>
Exceptional organizational skills with a proven ability to manage complex backlogs.</li><li>
Technical and AI literacy.</li></ul>
Nice to Have<ul><li>
Master&rsquo;s degree in business or a technical field, or equivalent experience.</li><li>
Strong leadership and communication skills to influence, drive product vision and strategy.</li></ul><ul><li>
Strong business acumen to prioritize features and capabilities based on customer value and business impact.</li><li>
Understanding of data governance principles and best practices.</li><li>
Experience with Data Governance tools and platforms.</li></ul><ul><li>
Insurance industry experience.</li><li>
Experience/experimenting with building AI products.</li></ul> 
Annual Salary
$146,575.00 - $229,600.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Product Manager, Data Compass

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.Discord is looking for experienced and passionate Senior Data Engineers to join our Data team! Our data infrastructure powers insights across the entire company, and we need Senior Data Engineers who are passionate about building the foundational datasets and pipelines that enable data-driven decision making at scale. You'll be building the analytical backbone that supports everything from product development to experimentation to machine learning - the systems that help us understand and improve how people experience Discord. Data Engineers at Discord collaborate with data science and engineering teams to build and support foundational high-leverage data sets that power tools, analyses, and models. The data sets built by DE directly inform how we identify opportunities, measure success, and make decisions. We're hiring for multiple verticals on our Data Engineering team, including Growth, User Lifecycle, Safety, and Gaming. If building elegant data systems that power insights for hundreds of millions of users sounds exciting, we'd love to hear from you! What You'll Be Doing Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost Partner closely with data science and engineering teams to improve instrumentation coverage, accuracy, and reliability across Discord's products Build scalable data quality audits, implementing automated alerting and anomaly detection systems that catch issues before they impact downstream consumers Proactively identify and execute opportunities to improve ETL performance, reduce costs, and enhance the overall data platform experience Create dashboards and reporting infrastructure that enable self-serve analytics and support key business objectives across functional teams Champion data engineering best practices including documentation, testing, and maintainable code that scales with Discord's growth What you should have 4+ years of experience building data pipelines in production environments with high volumes of consumer data 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources 4+ years of experience writing accurate and effective code in SQL and Python Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows) Experience proactively identifying opportunities to improve ETL &amp;amp; dashboard performance and cost Experience leveraging your excellent communication and stakeholder management skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly Experience collaborating directly with data science, machine learning, and product engineering teams A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points Discord passion: You're an active Discord user or have deep knowledge of gaming and creator communities Data architecture expertise: Experience owning data models for functional areas with deep knowledge of performant, scalable design patterns Modern data stack: Hands-on experience with BigQuery, Airflow, DBT, or similar technologies in production environments Visualization platforms: Proficiency with Looker, Tableau, or similar BI tools and understanding of how data architecture impacts dashboard performance Experimentation infrastructure: Experience designing data systems that power A/B testing and statistical analysis at scale Cross-functional collaboration: Experience working with compliance, legal, or litigation teams on data-related initiatives For Growth analytics: Experience working on SEO, GEO, or top-of-funnel growth features For Gaming:Background in gaming analytics or community-driven platforms For Safety: Background promoting best practices in data security, compliance, and governance standards For User Lifecycle: Experience measuring user engagement and activity across multiple platforms and lifecycle stages The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Senior Data Engineer, Analytics

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

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? You will be part of the core worldwide GenAI Models team, responsible for helping our customers build and deploy Generative AI (GenAI) models to power end applications and use cases across industry verticals. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. You will be working directly with GenAI model providers, Intelligent Device vendors, around model performance evaluations, intelligent on Edge optimization, developing demos and proof-of-concepts of GenAI end applications and use cases with large models. 
 
Key job responsibilities 
You will help develop the industry&rsquo;s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads across Edge devices and AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership. 
 
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases, as well as the system/solution development on Edge devices. You have the technical depth to articulate the benefits of our GenAI-related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partners development, and professional services) and externally with customers and AWS partners. 
 
You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and work with GenAI model providers, Edge device vendors, and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to drive model implementations and develop new solutions. 
 
You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation. 
 
About the team 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience selling enterprise software or cloud-based applications</li><li>Experience explaining complex technical concepts to various business and technical audiences</li><li>Experience presenting to both technical and non-technical executive audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience interpreting data and making business recommendations</li><li>Experience identifying, negotiating, and executing complex legal agreements</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually 
USA, CA, Santa Clara - 162,700.00 - 220,200.00 USD annually 
USA, NY, New York - 162,700.00 - 220,200.00 USD annually 
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually 
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

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