associate data scientist Jobs in San Francisco

associate data scientist

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lead software engineer, data migration Jobs in San Francisco

lead software engineer, data migration

principal database engineer Jobs in San Francisco

principal database engineer

data engineering lead

Janie and Jack

<div><p>Janie and Jack and Hatch Collections bring style and quality to life&rsquo;s most meaningful moments&mdash;from timeless children&rsquo;s apparel to modern maternity wear. Working here means immersing yourself in a dynamic, dual-brand environment under the Matri Group, where functional expertise sharing is key. If you&rsquo;re passionate about delivering a premium, high-quality product and value agility and accountability across two distinct brand cultures, you&rsquo;ll excel within our focused and committed team.</p><p><b>
About the Job</b></p><p>
You will be instrumental in driving and developing our data platform and BI solutions, empowering business teams to make better decisions, faster. To succeed, you&rsquo;ll bring technical curiosity, business insight, and strong skills in data engineering and visualization.</p><p><b>
Please Note: </b>Janie and Jack and Hatch Collections do not offer visa sponsorship. Candidates must be authorized to work in the United States without current or future sponsorship.</p><p></p><p><b><br>
What you&rsquo;ll do</b></p><ul><li>
Architect, build, and maintain the core data infrastructure (Snowflake) and BI reporting (Strategy).</li><li>
Translate business requirements into robust data products, dependable data pipelines and automated reporting to surface metrics.</li><li>
Collaborate with upstream and downstream technical teams develop integrations to provide a seamless flow of data into data platform.</li><li>
Implement observability, monitoring, data quality, and SLA enforcement for data availability for business consumption.</li><li>
Define and uphold engineering best practices for data modeling, lineage, warehouse architecture and data visualization.</li><li>
Provides and supports the implementation of business solutions applying data modeling, SQL and data warehousing skills, including hands-on implementation.</li><li>
Create and maintain documentation, best practices, and standards for data.</li><li>
Engage in technical discussions and decision-making processes, contributing to the company's strategic vision. Work on proof-of-concept and make recommendations on the technologies based on their merit.</li><li>
Explore new technology advancements in Data Engineering, Generative/Agentic AI and incorporate them into the BI solutions to create value.</li><li>
Lead and manage BI support team, partner with multiple SAAS vendors providing data services and solutions.</li></ul><p>
 <b>What you&rsquo;ll bring</b></p><ul><li><b>
Experience:</b> 5&ndash;7 years in data engineering, with hands-on experience in <b>Snowflake</b> and strong knowledge of the <b>Retail domain</b>, including Inventory Management, Customer 360, Martech, and Retail Analytics.</li><li><b>
Technical Acumen:</b> Expert-level knowledge of dimensional modeling, Star and Snowflake schemas; expert-level knowledge of the latest ELT tools and techniques; deep understanding of cloud-based architectures including <b>Snowflake and Azure</b>; fluency in building scalable and complex data pipelines between numerous source and target systems.</li><li><b>
Hands-on Technical Skills:</b> Experience with Azure cloud, Snowflake, SQL, Hive/Spark, Unix scripting, Python, and MicroStrategy.</li><li><b>
Systems Knowledge:</b> Working knowledge of the Salesforce ecosystem (Commerce Cloud, Marketing Cloud, Order Management, POS, and Data Cloud) and Retail ERP systems (Oracle RMS, Microsoft D365).</li><li><b>
Analytical &amp; Problem-Solving Skills:</b> Strong analytical and problem-solving abilities for troubleshooting and optimizing data processes.</li><li><b>
Communication &amp; Collaboration:</b> Excellent communication skills to work effectively with technical and non-technical stakeholders.</li><li><b>
Strategic Leadership:</b> Ability to drive long-term technical vision while remaining deeply engaged in hands-on execution.</li><li><b>
Additional Skills:</b> Exposure or knowledge of Snowflake Cortex is a plus.</li></ul><p>
 <b>Why You&rsquo;ll Love Working With Us</b></p><ul><li>
The Product&mdash;so good, you&rsquo;ll be using your employee discount more than you probably should.</li><li>
The People&mdash;ask anyone that works here&hellip;we have incredible people on our team.</li><li>
The Experience&mdash;you&rsquo;ll enjoy a rewarding career at a respected children&rsquo;s brand.</li></ul><p>
 <b>Let&rsquo;s Talk Perks!</b></p><ul><li>
Employee discount at Janie and Jack and HATCH</li><li>
Paid holidays and flexible time off.</li><li>
Generous Health Savings Account (HSA) employer contributions.</li><li>
Flexible Spending Accounts and commuter benefits.</li><li>
Life insurance.</li><li>
Extensive 401(k) plan with company matching.</li><li>
Medical, dental and vision insurance.</li><li>
Employee Assistance Program: financial, legal assistance, emotional work/life counseling, health, and wellness and travel resources.</li></ul><p></p><p><i><br>
Actual starting pay for this role is determined by a wide array of factors including but not limited to qualifications, experience, relevant skills,, education, and geographic location. Employees are offered a variety of benefits to empower them with the resources and flexibility they need to enjoy success on the job and to live a healthy life. Full-time employees are eligible for medical insurance, dental insurance, vision insurance, health and dependent care FSA, life/ad&amp;d insurance, short term and long term disability, commuter benefits, pet benefits, tuition reimbursement, paid time off and 401(k) including matching. All employees are eligible for employee discounts and EAP Resources. All regular, full-time Brand Support Center employees are eligible for the annual discretionary bonus plan.</i></p><p><i>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i></p></div>

Data Engineering Lead

OpenAI

About the Team
<br><br>
OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.
<br><br>
The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.
<br><br>
About the Role
<br><br>
Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a manager of Protection Scientist Engineers, you will lead a small but growing team of PSEs who design and build systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. The team also responds to and investigates critical escalations, especially those that are not caught by our existing safety systems. The team, and you, will leverage expert understanding of our products and data, and work cross-functionally with product, policy, and scaled engineering teams.
<br><br>
This role is based in our San Francisco office and may involve resolving urgent escalations outside of normal work hours. Some investigations and work may involve sensitive content, including sexual, child safety, violent, or otherwise-disturbing material.
<br><br>
<b>In this role, you will:</b><br>
Lead, manage, and support an interdisciplinary and technical team across US timezones, working with them to chart longer term strategies.
<br><br>
Leverage your expertise in designing, launching, and improving systems of defense to mentor the team and develop both technical and organisational solutions.
<br><br>
Identify and create opportunities to enhance and make more efficient the team’s core work through understanding both cross-functional and technical challenges.
<br><br>
Review, and at times design and participate in, the implementation of abuse detection, review, and enforcement for new product launches and major harms.
<br><br>
Work with Product, Policy, Ops, and Investigative teams to understand key risks and how to address them, and with Engineering teams to ensure we have sufficient data and scaled tooling.
<br><br>
Communicate the work of the team, at times externally, and coordinate with cross-functional partners to scope and prioritize work across abuse response.
<br><br>
<b>You might thrive in this role if you:</b><br>
Have at least two years of experience managing or tech leading teams that fight threats at a tech company and/or government organization.
<br><br>
Have deep experience with technical analysis and harm detection, especially using SQL and Python.
<br><br>
Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. An investigative mindset is key.
<br><br>
Have experience with basic data engineering, such as building core tables or writing data pipelines in production, and with machine learning principles and execution. Basic software development skills are a plus as this role writes productionised code.
<br><br>
Have experience scaling and automating processes, especially with language models.
<br><br>
About OpenAI
<br><br>
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.
<br><br>
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.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
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.
<br><br>
Compensation
<br><br>
$320K – $425K + Offers Equity

Manager, Protection Scientist Engineer, Intelligence and Investigations

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Mailchimp&rsquo;s website is our most critical growth channel, serving as the front door for millions of small businesses worldwide. We&rsquo;re seeking a data-driven, strategic marketing leader to transform our global web presence into a powerful conversion engine. This isn&rsquo;t about maintaining the status quo &mdash; it&rsquo;s about architecting the future of how we acquire and convert</div><div>
new customers online.</div><div></div><div><br>
You will own the strategy, roadmap, and execution of web experiences that turn prospects into loyal, paying customers, while shaping Mailchimp&rsquo;s long-term vision for digital growth.</div><div><h2 class="jobSectionHeader"><b>
What you'll bring</b></h2><ul><li>
5+ years in web marketing, digital growth, or CRO roles, with a clear track record of improving conversion rates and driving revenue through a B2B or B2C website (SaaS experience is a major plus).</li><li>
Deep expertise with web analytics, experimentation platforms, and content management systems (CMS).</li><li>
Strategic thinker with business-owner mindset: skilled at shaping roadmaps, influencing stakeholders, and translating complex data into a clear vision.</li><li>
Exceptional communicator and collaborator who thrives in fast-paced, cross-functional environments.</li><li>
A builder who thrives in ambiguity, proactively mapping out solutions and testing bold ideas.</li></ul></div><div><h2 class="jobSectionHeader"><b>
How you will lead</b></h2><ul><li>
Conversion Strategy: Define and lead a comprehensive roadmap for website optimization, experimentation (A/B, multivariate, personalization), and funnel design aimed at increasing trial sign-ups, qualified sales leads, , and average order values of newly acquired customers.</li><li>
Cross-Functional Leadership: Lead a dedicated squad of Product, Design, Engineering, and Analytics partners, rallying them around high-impact experiments that improve performance. Influence senior stakeholders across Marketing and Product to align on growth priorities.</li><li>
Data-Driven Insights: Go beyond surface-level metrics. Uncover actionable insights about user behavior, traffic patterns, and conversion funnels, translating them into business opportunities.</li><li>
Strategic Collaboration: Serve as the central hub for web acquisition. Partner closely with Paid Media, SEO, Product Marketing, and Content to deliver seamless, high-performing customer journeys from first click to conversion.</li><li>
Business Impact: Champion a test-and-learn culture. Tie all initiatives directly to growth outcomes by owning customer acquisition and revenue targets.</li><li>
Coaching &amp; Mentorship (optional): Elevate the craft of experimentation by mentoring cross-functional partners and evangelizing CRO best practices.</li></ul></div></div>

Staff Marketing Manager

ATOrchard

<p><b>Product Operations Data Analyst</b></p><p><b>Location:</b> San Francisco, CA (Hybrid &ndash; 3 days onsite)<br/><b>Compensation:</b> $165,000&ndash;$220,000 + 0.1%&ndash;0.2% equity<br/><b>Visa Sponsorship:</b> Available</p><p><b>About the Role</b></p><p>Vizcom is looking for a <b>Product Operations Data Analyst</b> who thrives on turning complex data into meaningful insights that drive business and product decisions. You&rsquo;ll explore large user-support datasets, identify patterns, and build real-time dashboards that make it easy for teams to see what&rsquo;s working&mdash;and what&rsquo;s not.</p><p>Your mission is to detect friction before it escalates, keep teams aligned with accurate and timely data, and enable smarter, faster decisions across the company. You&rsquo;ll collaborate closely with Product, Sales, and Engineering to maintain clean pipelines, improve data visibility, and ensure consistent reporting across the organization.</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Build and maintain <b>self-serve dashboards and reporting tools</b> that empower non-technical teams to explore data independently.</li><li>Define a unified <b>metrics taxonomy</b> for service health and performance, with automated pipelines and scorecards for consistent, real-time insights.</li><li>Analyze <b>model usage and adoption trends</b>, uncovering friction points and informing roadmap priorities.</li><li>Partner with cross-functional leaders to <b>translate findings into actionable strategies</b> that improve performance and customer experience.</li><li>Lead <b>deep-dive analyses and special projects</b>, delivering clear, data-backed recommendations to executives.</li><li>Prototype analytics and tools quickly using <b>ChatGPT, Jupyter notebooks, Retool</b>, and similar platforms before hardening with Engineering.</li><li>Collaborate on <b>predictive models and experiments</b>, connecting analytical outcomes to operational improvements.</li></ul><p><b>What You&rsquo;ll Bring</b></p><ul><li><b>5+ years</b> in analytics, business intelligence, or data science, ideally supporting customer support or operations teams.</li><li><b>Expert SQL</b> skills and proficiency in <b>Python or R</b> for advanced analysis and automation.</li><li>Hands-on experience with <b>BI tools</b> (Looker, Mode, Tableau, or Sundial) and designing dashboards with a strong focus on clarity and usability.</li><li>Proven ability to <b>distill complex data</b> into stories that influence decisions at every level.</li><li>Familiarity with <b>support metrics</b> (SLAs, FCR, deflection) and defining service-health KPIs.</li><li>Excellent communication skills and a collaborative mindset for working across technical and operational teams.</li><li>Strong attention to detail, <b>bias for automation</b>, and a proactive approach to maintaining data integrity.</li><li>Comfortable operating in <b>fast-moving environments</b> where priorities shift quickly.</li></ul><p><b>Tech Stack</b></p><ul><li>SQL</li><li>Python / R</li><li>Looker, Mode, Tableau, or Sundial</li><li>Jupyter Notebooks, Retool</li></ul><p><b>Why Join Vizcom</b></p><p>You&rsquo;ll play a central role in scaling how Vizcom understands and improves its user experience. This is a high-impact position with visibility across the organization&mdash;perfect for someone who wants their work to directly influence product direction, service quality, and customer satisfaction.</p><p>Job Type: Full-time</p><p>Pay: $165,000.00 - $220,000.00 per year</p><p>Benefits:</p><ul><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Product Operations Data Analyst

Windfall

<div><div>At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models.</div><div></div><div><br>
We are looking for a deeply technical Staff Data Scientist to join our Modeling &amp; AI team. In this role, you will be the go-to expert for our most complex modeling challenges. You will be a hands-on-keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production-grade code that elevates the technical bar for the entire team.</div><div></div><div><br>
Your work will be directly applied, as you collaborate closely with customers to develop a range of models&mdash;from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end-to-end ML solutions that deliver immense value to our clients.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Architect and Own Modeling Solutions: You will lead the design and own the end-to-end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long-term performance monitoring.</li><li>
Synthesize Diverse Datasets: You will become an expert at blending first-party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models.</li><li>
Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team.</li><li>
Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries.</li><li>
Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non-technical stakeholders.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
8+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion.</li><li>
Deep, expert-level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering.</li><li>
Mastery of Python and its data science ecosystem.</li><li>
Expert-level SQL skills, with the ability to write optimized queries against large-scale datasets.</li><li>
A strategic, product-driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes.</li><li>
Hands-on experience with the engineering aspects of data science, including proficiency with Docker for containerization and experience building and deploying data pipelines.</li><li>
Eligible to work within the United States.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining.</li><li>
Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow).</li><li>
Experience working in marketing analytics, ad-tech, fintech, or for a nonprofit organization.</li><li>
A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics.</li></ul><div><b>
Additional Information:</b></div><div>
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.</div><div></div><div><b><br>
California</b>: Salary range is $200,000 - $230,000 + Equity</div><div><b>
About Windfall</b></div><div>
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div><div></div><div><b><br>
We comply with CCPA. </b>For more information on how we comply, review our privacy notice.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Data Scientist

Bright Machines

<div><div><b>RETHINK MANUFACTURING</b></div><div></div><div><br>
The only way to ignite change is to build the best team. At Bright Machines&reg;, we&rsquo;re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers&rsquo; unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.</div><div></div><div><br>
Working with us means you&rsquo;ll have the opportunity to make lasting, impactful changes for our company and our customers. If you&rsquo;re ready to apply your exceptional skills to create the factory of the future, we&rsquo;d love to speak with you.</div><div></div><div><b><br>
ABOUT THE ROLE</b></div><div></div><div><br>
We are seeking a driven, strategic, and execution-oriented Strategy &amp; Operations Manager to work directly with our Executive team on high-impact initiatives across Bright Machines organization. This person will be a force multiplier, partnering across the company to drive strategic programs, investor relations, key partnerships, and building out the strategic marketing &amp; brand engine.</div><div>
</div><div>
This is a high-visibility role with broad exposure, you will influence strategy, lead cross-functional execution, and help elevate how Bright Machines tells its story internally and externally.</div>
<h3 class="jobSectionHeader"><b>WHAT YOU WILL BE DOING</b></h3><ul><li>
Own Strategic Initiatives &amp; Special Projects - Partner with the leadership team, launch, and drive cross-functional strategic programs (New business initiatives, operational transformation).</li><li>
Investor Relations &amp; External Communications - Assist in preparing board/investor decks, quarterly updates, fundraising materials, and strategic messaging.</li><li>
Partnerships &amp; Corporate Development Support - Help evaluate and manage strategic partnerships, alliances, joint ventures, or ecosystem collaborations.</li><li>
Strategic Marketing, Brand &amp; Go-To-Market Oversight - Lead the strategic marketing function, set strategy for brand, website, content, thought leadership, events/conferences</li><li>
Cross-Functional Leadership &amp; Influence - Work across Product, Engineering, Sales, HR, finance and Operations to align strategy with execution and break down silos.</li></ul><h3 class="jobSectionHeader"><b>
WHAT WE WANT TO SEE
</b></h3><ul><li>7+ years of experience in a strategic / operational / business planning role, ideally in high-growth technology, SW, robotics, automation, or top tier consulting firms.</li><li>
Proven track record leading strategic cross-functional programs or initiatives from ideation to execution.</li><li>
Experience with investor relations, board and executive level communication, and high-stakes storytelling.</li><li>
Strategic marketing acumen, you&rsquo;ve built or managed content strategy, website strategy, events.</li><li>
Excellent analytical and synthesis skills, you can think at both big-picture and detail levels, with comfort in building models, business cases, and frameworks.</li><li>
Highly cross-functional: you can engage peers in product, engineering, operations, sales, etc., and drive consensus and progress.</li><li>
Exceptional written and verbal communication skills, you can craft crisp narratives and compelling decks.</li><li>
Comfortable working in fast-paced, ambiguous environments.</li><li>
Bachelor&rsquo;s degree (preferably in business, engineering, or related field); MBA or similar advanced degree from a top school a must</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
IT WOULD BE GREAT IF YOU HAD</b></h3><ul><li>
Prior experience in robotics, manufacturing, automation, or industrial tech.</li><li>
Experience scaling a strategic marketing function in a tech or deep tech company.</li><li>
Experience working with executive teams and advising C-level leadership.</li></ul><div><b>
BE EMPOWERED TO CHANGE AN INDUSTRY</b></div><div></div><div><br>
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.</div><div></div><div><br>
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes&rsquo; AI 50, awarded &ldquo;Best AI-based Solution for Manufacturing&rdquo; by AI Breakthrough, named a &ldquo;Technology Pioneer&rdquo; by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.</div></div><div></div>

Strategy and Operations Manager

MongoDB

<div><p>MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere&mdash;on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.</p>
<p>
MongoDB is building a world-class team in India to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.</p>
<p>
We are looking for an experienced Lead Software Engineer with a strong background in data streaming products, the Java ecosystem and team leadership. You will lead a talented team building a complex product suite using a modern stack: Java, Spring Boot, Apache Kafka, Debezium, and React. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging data problems.</p>
<p>
This role will be based in our North America and offers a hybrid working model.</p>
<h3 class="jobSectionHeader"><b>
The ideal candidate for this role will have</b></h3>
<ul><li>6+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem</li>
<li>2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results</li>
<li>Extensive product experience in the data streaming or data tooling space, especially with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium</li>
<li>Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)</li>
<li>Exposure to client-side technologies such as JavaScript and React is a plus</li>
<li>Good understanding of algorithms, data structures and their time and space complexity</li>
<li>Curiosity, a positive attitude, and a drive to continue learning</li>
<li>Excellent verbal and written communication skills</li>
</ul><h3 class="jobSectionHeader"><b>Position Expectations</b></h3>
<ul><li>Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement</li>
<li>Drive the architectural vision and long-term technical roadmap for the Data Migration product suite, ensuring it is scalable, reliable, and performant</li>
<li>Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs</li>
<li>Lead the design and implementation of complex, mission-critical components of our data streaming and migration platform</li>
<li>Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence</li>
<li>Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary</li>
</ul><h3 class="jobSectionHeader"><b>Success Measures</b></h3>
<p>
Within the first three months, you will have:</p>
<ul>
<li>Fully ramped up on our architecture, business domain, and team processes</li>
<li>Established yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap</li>
<li>Begun mentoring team members and building strong collaborative relationships with your product counterparts</li>
</ul>
<p>Within six months, you will have:</p>
<ul>
<li>Successfully led the team to deliver a major feature or product release</li>
<li>Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams</li>
<li>Established a clear rhythm of execution and a high-performing culture within your team</li>
</ul>
<p>Within 12 months, you will have:</p>
<ul>
<li>Become recognized as the go-to technical expert for the data migration domain at MongoDB</li>
<li>Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business</li>
<li>Played a crucial role in recruiting, hiring, and growing the engineering team</li>
</ul><h3 class="jobSectionHeader"><b>Life at MongoDB</b></h3>
<p>
To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!</p>
<p>
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>
Req ID: 3263226538</p></div>

Lead Software Engineer, Data Migration

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