Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

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As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and  unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
• Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Work with massive datasets to develop both generic models as well as fine tune models for specific products
• Build scalable machine learning infrastructure to automate and optimize our ML services
• Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
• Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
• Comfortable with light travel (approximately 10%) for customer interaction and team needs
• This role will require an active security clearance or the ability to obtain a security clearance

Ideally You’d Have:

• Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programing skills in Python, experience in Tensorflow or PyTorch

Nice to Haves:

• Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
• Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
• Experience with computer vision, generative AI models, large language models, or agentic systems
• Familiarity with ML evaluation frameworks and agentic model design

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

Who We Are  

Weber Shandwick is more than a leading global PR agency – we’re an engagement agency and we’re working in and around the cutting edge of the new media landscape. We’re storytellers, content creators, and we engage people IN the story. Our success is built on a deep commitment to client service and to our people. We embrace creativity and collaboration, and we engage stakeholders in new and creative ways to build brands and reputations.  

About the Role  

Weber Shandwick is seeking an experienced and passionate Analytics Manager to join our team in Washington, D.C. This person will be a key leader in leveraging analytics and AI to inform and empower effective media campaigns at state and national levels for some of the world's most dynamic brands. Reporting to the Head of Analytics, you will partner with major clients across tech, healthcare, and federal agency sectors, translating complex data into the actionable insights that shape winning communication strategies.  

This position will be based in our Washington, D.C. office on a hybrid schedule.  

About You  

You are a natural-born data storyteller, driven by a passion for uncovering the "why" behind the numbers. You see analytics not just as a reporting function, but as a strategic tool for creative and impactful communications. Fluent in the language of data, you excel at translating complex findings into clear, compelling narratives that inspire action. You are intellectually curious, a proactive problem-solver, and thrive on collaborating with diverse teams to embed data-driven decision-making into every stage of a campaign. A forward-thinker, you are excited by the potential of AI to revolutionize insights and are eager to pioneer its application in your work.  

What You'll Do  

Insight & Reporting: Lead the scoping and production of social listening reports, campaign performance analyses, and ad hoc analytics deliverables, translating data into compelling insights for clients.  

Strategic Counsel: Partner with cross-discipline teams to service client research and analytics requests; design the strategic approach, lead the analysis, and deliver clear, actionable recommendations.  

Trend Analysis: Identify, analyze, and interpret significant trends and patterns in complex datasets to inform client strategy and identify opportunities.  

Measurement Strategy: Develop and apply strategic measurement frameworks to guide ongoing performance assessment and optimization across paid, earned, and owned channels. 

Team Leadership & Mentorship: Evangelize smart data analytics internally and externally, manage complicated deadlines, nurture client relationships, and mentor junior analytics staff.  

Innovation: Maintain deep knowledge of new and established analytics tools and platforms, and actively work to embed AI solutions to drive deeper analyses and insights.  

What You'll Bring   

• Basic Qualifications:  
  • 3+ years of relevant full-time experience in marketing analytics, digital analytics, social listening, or campaign measurement. 
  • 1+ years of experience managing one or more direct reports. 
  • Demonstrated experience analyzing and synthesizing data from first-party and third-party sources (e.g., social listening, web analytics, syndicated research). 
  • Experience analyzing paid, earned, owned, and influencer media strategies. 
  • Experience engaging and collaborating with large, complex clients; federal government experience is a plus.  
• Competencies:  
  • Strategic Thinking: Demonstrated expertise in translating data and research into high-level strategic insights and actionable recommendations. 
  • Collaboration: A team player with the ability to work independently while bringing unique analytics skills to large, integrated client teams. 
  • Ownership & Accountability: The desire and capacity to take full ownership of work tracks, manage complicated processes, and deliver with excellence. 
  • Client Service: The ability to build trust, nurture client relationships, and make complex data accessible and meaningful to various partners. 
  • Future-Forward: A strong interest in and understanding of emerging AI tools and their application to data analysis and insight generation. 

Salary Range: $86,000 USD – $100,000 USD

Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee’s/applicant’s background, pertinent experience, and qualifications.

Weber Shandwick is proud to be an Equal Opportunity/Affirmative Action employer. Weber Shandwick recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status or citizenship status.

#LI-RJ1 

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

#LI-MC1

#LI-Hybrid

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About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

The Customer Success Manager II is responsible for driving long-term success and growth across a strategic portfolio of enterprise customers. This role serves as the primary business partner and trusted advisor to senior stakeholders, ensuring an exceptional customer experience, strong net revenue retention, high product adoption, and advocacy.

As the key point of contact for Diligent’s solutions, the CSM II leads proactive account management, orchestrates cross-functional resources, and partners closely with Sales and Services to deliver measurable outcomes and expand our footprint within each account.

Key Responsibilities

• Own a portfolio of enterprise accounts with accountability for renewal, net revenue retention, and expansion, leveraging data and insights to proactively manage risk and opportunity.
• Drive product adoption and value realization by developing and executing customer success plans aligned to the customer’s strategic objectives and key outcomes.
• Deliver a best-in-class customer experience across all phases of the customer lifecycle, from onboarding through renewal, coordinating with Implementation, Professional Services, Support, Product, and other internal teams.
• Lead executive-level engagements, including QBRs/EBRs and strategic reviews with C-suite, board administrators, and senior directors, to demonstrate ROI, influence adoption, and surface new opportunities.
• Identify, qualify, and partner on expansion opportunities in close collaboration with the Expansion Sales team, ensuring smooth handoffs, aligned account strategies, and clear growth plans.
• Facilitate successful onboarding and rollout of Diligent products and modules, working alongside the Implementation team to ensure stakeholder alignment, training, and effective change management.
• Build and maintain strong, multi-threaded relationships with key business and technical stakeholders, becoming a trusted advisor who understands their governance, risk, compliance, and operational priorities.
• Act as the voice of the customer internally, providing structured feedback and insights to Product, Marketing, Services, and Operations to influence roadmap and process improvements.
• Monitor account health and usage leveraging dashboards and analytics, intervening early to address risks, drive adoption, and reinforce value.
• Champion customer advocacy, by identifying referenceable customers, case study opportunities, testimonials, and participation in user groups or events.
• Collaborate on process and playbook improvements within the Customer Success organization to drive consistency, scalability, and excellence in how we serve enterprise customers.

Required Experience & Skills

• 5+ years of professional experience, including 2–4+ years in Customer Success, Account Management, or a similar client-facing role within B2B SaaS.
• Proven experience managing mid-market and/or enterprise accounts, with comfort engaging senior and executive stakeholders (Director, VP, C‑Suite).
• Demonstrated track record of meeting or exceeding renewal, retention, and expansion targets.
• Strong experience using CRM tools (preferably Salesforce) to manage accounts, opportunities, and customer health activities.
• Excellent communication and presentation skills, able to translate complex concepts into clear, compelling narratives for multiple stakeholder groups.
• Strong consultative and problem-solving skills, with a natural curiosity about the customer’s business, use cases, and success metrics.
• High level of resilience, ownership, and accountability, with the ability to navigate ambiguity and manage competing priorities across a large book of business.
• Passion for technology and a solution-centric mindset, with the ability to quickly learn new products and articulate their business value.
• Strong organizational skills and attention to detail, with experience managing multiple customers, projects, and deadlines simultaneously.

Preferred Qualifications

• Experience in governance, risk, compliance, legal, or adjacent enterprise software environments is a plus.
• Background working in a matrixed, global organization with cross-functional partners across time zones.
• Familiarity with customer success platforms and data-driven approaches to managing account health and adoption.

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Guides empower children to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you. We are hiring for all ages from 0-6!

Your Role

In a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Classroom environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 0–6, or willingness to obtain certification (fully sponsored)
• Experience working with children  in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (any field)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-50,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 80 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

The Work: 

• Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. 

• Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. 

• Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. 

• Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. 

• Collaborate & Build: Partner with Data Engineers to define data requirements and support development. 

• Explore & Experiment: Research and test new tools to solve challenging problems. 

 Here’s what you need: 

• • Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) 
  • Proficiency in Python (pandas, PySpark) and SQL 
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Databricks 
  • Strong quantitative and analytic abilities to analyze and validate data 
  • Understanding of analytical model development and data-driven decision-making
  • Must be a US Citizen 

 Bonus points if you have: 

• Experience designing and implementing a custom Generative AI solution
• Experience working in a cloud environment (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
• Experience working with federal clients 
• Experience in a specific domain like Cybersecurity or Fraud Detection 

 Security Clearance:  

• Active Secret or Top Secret or TS/SCI or TS/SCI with polygraph clearance

The work: 

Key Responsibilities:

Position Overview

The Customer Success Manager (CSM) II, Public Sector manages a portfolio of accounts and ensures an outstanding customer experience, as measured by NPS, net revenue retention, referrals, and product usage.

The CSM II performs hands-on account management activities and collaborates with cross-functional teams to coordinate successful onboarding, training, adoption, and ongoing customer relationships that drive long-term satisfaction and accelerated net retention growth. The CSM II is the primary day-to-day contact for the customer relationship across Diligent products and specifically engages with Public Sector agencies, accounts, and partners.

Key Responsibilities

• Renew and grow a portfolio of customer accounts by proactively anticipating needs, recommending additional products and services, and providing an excellent customer experience as measured by revenue retention and product usage.
• Increase overall client satisfaction with Diligent, as measured through Net Promoter Score and other feedback mechanisms.
• Provide a seamless, best-in-class customer experience through all phases of the customer lifecycle, including onboarding, training, adoption, and renewal.
• Successfully manage multiple clients and products in an organized and meticulous manner, always keeping projects and tasks moving forward.
• Build and maintain strong direct relationships with key client stakeholders, including senior administrators, C-Suite, and Directors, ensuring consistent engagement and value realization.
• Collaborate internally as the voice of the customer across other departments, including sales, expansion, services, marketing, finance, customer transactions, and operations teams.
• Partner with the Expansion Sales team to spot, qualify, and pass on expansion opportunities.
• Facilitate, alongside the Implementation team, the rollout of the core Boards product and modules with senior client stakeholders, including C-Suite and Directors.
• Seek out client advocacy initiatives, such as references, case studies, testimonials, participation in events, and peer-to-peer networking.

Required Experience/Skills

• 2–5 years of Customer Success, Account Management, or post-sales experience required.
• Public Sector experience required, preferably working with agencies, councils, or other public bodies.
• Experience in SaaS enterprise-level account management.
• Experience in sales CRM applications such as Salesforce.
• Proven ability to build and maintain strong client relationships with multiple stakeholders, including senior decision-makers.
• Excellent communication and presentation skills, with the ability to manage and influence multiple stakeholders.
• Strong problem-solving ability and a natural curiosity about the client’s business needs and objectives.
• High level of resilience and a positive attitude when faced with adversity.
• Passionate about technology with a solution-centric mindset.

Available Locations: Washington D.C.

About Cloudflare's Public Policy Team

Cloudflare’s Public Policy teams anticipate regulatory opportunities and challenges and advocate for the company’s interests across a rapidly evolving digital and policy landscape. The team manages a diverse portfolio of issues, focusing on critical areas such as AI, cybersecurity, data protection and privacy, digital sovereignty, connectivity, and intermediary liability. Operating in a fast-paced environment, members collaborate across functions to align policy solutions with core business priorities. By building strategic external partnerships, they effectively promote Cloudflare’s work and navigate complex global, national, and local policy issues to help build a better Internet for all.

What you’ll do

As a U.S. Public Policy and AI Innovation Intern, you will dive headfirst into the intersection of public policy and cutting-edge technology.  Primarily supporting our Washington, D.C.-based U.S. Federal, State and Local Policy, Policy Strategy, and Global Government Relations teams, you will assist in efforts to both (1) navigate and respond to relevant tech policy, legislative, and regulatory processes, and (2) build internal AI-driven tools to enhance the efficacy and efficiency of our policy work.  We expect your internship will touch on a wide range of cutting-edge work streams and projects for the Public Policy team and could include:

Policy operations and advocacy

• Maintaining internal policy knowledge bases and issue trackers.
• Monitoring and evaluating U.S. federal, state, and local legislation for impact on Cloudflare products.
• Providing timely updates on policy shifts.
• Drafting talking points, policy messaging, and presentation materials for external events, blog posts, and consultation responses. 
• Collaborating with Legal, Trust & Safety, Public Sector Sales, and other internal teams on regulatory inquiries and high-stakes policy issues.
• Analyzing new or proposed Internet- and Cloudflare-impacting regulations or legislation to guide advocacy and operational responses.

AI Innovation and Tooling

• Designing AI-driven prototypes, and developing and refining specialized prompts and internal AI interfaces to streamline policy team workflows and processes.
• Leveraging internal AI tools to synthesize vast amounts of public policy data into actionable insights, ensuring the team can respond to legislative shifts with higher speed and accuracy.
• Supporting the development of internal best practices for the responsible use of AI within the policy and legal functions.

• AI Policy & Compliance Research: Track and analyze emerging artificial intelligence legislation and frameworks across North America, including US federal initiatives (e.g., Executive Orders, NIST AI RMF), state-level AI regulations (e.g., California, Colorado), and Canada’s Artificial Intelligence and Data Act (AIDA).
• Cybersecurity Regulatory Tracking: Monitor updates to cybersecurity mandates such as CISA’s Secure by Design guidelines, SEC incident reporting rules, and critical infrastructure protection frameworks.
• Public Sector Enablement: Assist the Public Sector legal team in reviewing and updating compliance materials related to FedRAMP, StateRAMP, and IRAP requirements, helping to accelerate our mission to secure government entities.
• Drafting & Advocacy: Draft legal memos, policy briefs, and internal guidance documents outlining how new North American tech regulations impact Cloudflare’s product roadmap, including our AI Gateway and zero-trust security services.

Examples of desirable skills, knowledge and experience

• • Education: Currently pursuing a Bachelor’s or Master’s degree with a focus on technology, engineering, public policy, law, or a related field.
  • Tech-Forward Mindset: Strong demonstrated interest in Internet and technology policy, cybersecurity, privacy, and artificial intelligence issues.
  • AI Experience and Skills: Prior experience building and deploying AI tools and applications using modern developer workflows, including AI-augmented coding or natural language programming (vibe coding). 
  • Analytical Rigor: Strong research, writing, and analytical skills. You are able to distill legislative and regulatory texts into clear, business-friendly advice and analysis.
  • Initiative: Self-starter mentality. You are comfortable navigating ambiguity, developing and initiating new projects. You thrive in a fast-paced, highly collaborative environment.
  • Curiosity: Willingness to learn, ask questions, and dig deep into novel issue sets with diligence, speed, and energy.
  • Communication: Strong interpersonal and communications skills. You can articulate complex technology and policy concepts to cross-functional and public audiences. Proficiency in English, both written and oral, is required.

Bonus Points 

• Prior experience teaching AI tooling or adoption to a non-technical user base.
• Prior experience (including internships, clinical work, or research) in government, a public policy organization, trade association, or a technology company.
• Familiarity with Cloudflare’s products, cloud computing infrastructure, and the general mechanics of how the Internet works.

Compensation

• Estimated hourly pay of $24/hour.

The Role: Principal Product Manager Supply Chain Intelligence

When a new tariff hits, a regulation changes, or a geopolitical crisis reshapes supply chains, companies scramble to understand their exposure and what to do next. Supply chains are vast, opaque, and shaped by complex regulations. The data needed to act is scattered across systems and buried in value chains that span dozens of countries and hundreds of suppliers.  Altana maps these supply chains into a global network, giving companies multi-tier visibility they've never had before.                                                                                                                                                                                                                                                                                       

You will own turning that visibility into prioritized action for importers, logistics service providers, and compliance teams. Help users answer questions like: 

• What's the impact of a new tariff on my business?
• How do I ensure my supply chain is free from forced labor?
• Where am I concentrated on a single supplier or region, and what's my contingency?                                                                                                                                                                                                               

This is the product that makes Altana's network intelligence indispensable. You'll define how customers explore and act on supply chain data across use cases: forced labor, critical minerals, foreign ownership, tariff exposure, and more. You'll design AI-native workflows, build generalizable analytical patterns, and create a bridge between insight and action. The role spans product strategy, complex data modeling, and modern AI. 

What You'll Do

Partner Deeply with Customers

Engage directly with supply chain managers, importers, brokers, and logistics service providers. Understand how they triage, prioritize, and act on supply chain risks today, where they go off-platform, and where the value proposition needs to be sharper. 

Make Complex Data Actionable

Own the product experience for how non-technical domain experts (trade compliance managers, risk analysts, procurement teams, customs brokers) explore and act on supply chain data. 

Design AI-Native Workflows

Identify where AI transforms the experience: surfacing highest-priority items and acting, explaining why a risk matters, recommending next actions, generating compliance narratives, enabling natural-language data exploration. Prototype fast and iterate based on customer feedback. Bring in agentic workflows to drive customer value: agents that monitor supplier networks for changes, flag emerging risks, or draft remediation plans a user reviews rather than builds from scratch.

Connect the Workflow Across Surfaces

Define how supply chain intelligence connects to the broader Altana product ecosystem: opportunity identification, trade compliance workflows (classification, country of origin, duty calculation), scenario modeling, and supplier collaboration. Own the boundary between analysis and action. Make the transition from understanding a risk to resolving it seamless. Partner with PMs across the portfolio so insights flow into actions and users never re-enter context.

Who You Are

You’re a builder of data-intensive products for non-technical users 

You've worked on products where the core challenge was making complex, high-dimensional data explorable and actionable for people who aren't analysts or engineers. You have real opinions about the right AI-patterns to surface meaningful insights to users.

You thrive in ambiguity

Altana is defining a new way of working in the trade space. The problems we solve are multi-dimensional, across technology, policy, and user experience. You find working on a complex problem space with no clear right answer to be energizing.

You iterate quickly

You come from a startup where you owned problems end to end. You default to prototypes and not product specs. You're more interested in learning fast than being right the first time.

You think in AI-first patterns 

You don't add AI to existing workflows. You design workflows differently because AI exists. You build and prototype with AI tools regularly. You have side projects that demonstrate this.

You communicate clearly 

You can explain a data model to a compliance manager and a compliance workflow to an engineer. You write well. You bring people along without over-explaining.

You're excited to learn a new domain

Global trade is complex and consequential. You don't need to come from the domain, but you need to be the kind of person who gets energized by learning it deeply and building products that make it accessible.

Preferred Qualifications

• 8+ years of product management experience, with meaningful time at a high-growth, startup delivering hosted solutions to a wide variety of user personas
• Track record of building data-intensive products: analytics platforms, business. intelligence tools, compliance or risk management software, or similar insight-driven solutions.
• Demonstrated AI/ML product experience. You've shipped AI-powered features with measurable results that connect them to customer value. Bonus if you have ML product management experience.
• Strong prototyping skills. Comfortable using AI tools, design tools, or code to rapidly test ideas before production investment.  Experience using tools to accelerate product development velocity and increase value delivered to customers.
• Technical degree (CS, engineering, or quantitative discipline) is a plus
• Familiarity with global trade, supply chain, customs, or regulatory compliance is a meaningful plus, but a fast learner with the right product instincts matters more than domain tenure.

US Salary Range and Benefits

$200,000 - $255,000 USD

The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position. The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including:

• Flexible Time Off: Altana operates with a Flexible Time Off (FTO) policy that gives you agency over your own time off so you can maximize your work-life balance.
• Parental Leave: We offer industry leading Paid Parental Leave (PPL), providing 14 weeks of leave for non-birthing, adoptive, and foster parents and up to 26 weeks of leave for birthing parents, all paid at 100% of your base salary.
• Health Benefits: We have a full suite of medical, vision, and dental benefits with generous employer contributions, designed to give you flexibility and choice for your individual health situation. Our high deductible health plan is 100% employer paid for employees and supplemented with an employer contribution to your Health Savings Account (HSA). There is also a Flexible Spending Account (FSA) option.
• Supplemental Benefits: Altana provides life, short- and long-term disability, and AD&D insurance coverage, all at no cost to you, so you know that you and your loved ones are covered in case of an emergency.
• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.
• Commuter Benefits: Save money on your commute by setting aside pre-tax funds for public transit or parking!
• Wellness: Because we value mental and emotional health, every Altana employee has access to a free premium subscription to Calm, the #1 app for meditation, sleep, and mindfulness.
• Pet Insurance: Pets are family too! Keep them healthy with Wishbone insurance and/or our Total Pet vet service and telehealth discount plan.
• Employee Assistance Program: Free access to confidential personal support.
• Dependent Care FSA: You will have access to a Dependent Care FSA, which allows you to set aside pre-tax funds for childcare expenses.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Who We Are:

Mem Global is where Jewish young adults in their 20s and early 30s come to connect, explore, and create meaningful Jewish experiences with their peers. As the umbrella brand for our global suite of programs, Mem Global supports young adults as they bring Judaism to life through thousands of peer-driven gatherings across 25+ countries each year. We’re all about creating spaces where Jewish young adults can lead, embrace, learn, and build the kind of community that will build a strong and vibrant Jewish future for all of us.

In partnership with the One8 Foundation, Mem Global is launching an exciting new pilot program in two U.S. cities, designed to help young, unengaged Jewish adults connect with one another through exciting local experiences and curated social events. The idea is to meet young Jews (22-32 years old) where they are using low-pressure, fun-first social experiences that provide avenues for Jewish young adults to genuinely connect with peers and make new friends.

The program is informed by deep consumer research conducted with unengaged Jewish young adults across more than a dozen U.S. cities. This research revealed a clear and urgent unmet need: making friends as an adult is hard, and existing Jewish institutions are not seen as relevant, welcoming, or culturally resonant by the majority of this audience. We believe that the challenge of making friends as an adult is real — and that Jewish connection can be a powerful, often underutilized, accelerant for that. This program is a direct response to what we heard. We are on a mission to help young, unaffiliated Jewish or “Jew-ish” adults find community, friendship, meaning, and joy in Jewish spaces.

We are looking for a City Connector to bring the pilot to life on the ground in their city. You will be the face of the program in your city. You will design and run creative, social-first events and experiences for unengaged Jewish young adults who may not be actively seeking Jewish friends— but are open to it if it feels right. Think intimate group dinners at trendy local restaurants, group gatherings built around shared interests, and unique social experiences that make connection feel easy and natural. Over time, the goal is to build a thriving social club in your city: a diverse, recurring roster of events and experiences that young, Jew-ish adults genuinely want to be part of.

This role requires equal parts creativity, hustle, analytical thinking, and genuine warmth. If you are energized by building something new, love getting out there and meeting people, and care deeply about helping young Jews find their people — read on.

This role reports to the Associate Director, Social Innovation and Strategy.

What You'll Do: 

• Community Networking and Relationship Building
  • Be a visible, active presence in your city's Jewish young adult ecosystem - and beyond. Attend local events, build relationships, and become genuinely well-networked among the population you are trying to reach.
  • Identify and cultivate relationships with young community-builders, social connectors, and local influencers who have broad networks and can help reach unengaged Jewish young adults.
  • Proactively source prospective participants and prospective peer leaders, building a pipeline of “regulars” who can become promoters ambassadors, and advocates for the program.
  • Identify and develop partnerships with local venues, brands, and organizations that can help host, sponsor and amplify program experiences.
• Event/Experience Design and Execution 
  • Design, plan, and execute creative, engaging local experiences that help Jew-ish young adults meet each other and connect in ways that feel fun, natural, and judgment-free.
  • Ground design decisions in what we know about our target audience — including insights from our consumer research — to lower barriers, reduce social risk, and make first-time participation feel easy and worth it.
  • Launch and run small-group dinner experiences (modeled on the Table for Eight concept, which tested strongly in our research) that bring 6–8 young adults together at trendy local restaurants for a low-pressure social experience.
  • Build out a broader events calendar over time — including a rich variety of activity-based gatherings, social experiences, and community hangouts — that serves as a "home base" social club network for Jew-ish young adults in your city.
  • Ensure that event volume and participant targets meet pilot projections and timelines.
• Program Management and Administration
  • Own all event logistics from start to finish, including: venue sourcing and coordination, registration and RSVP systems, day-of execution, and post-event follow-up.
  • Develop and maintain efficient, participant-friendly registration and communication systems.
  • Manage your local program budget responsibly, tracking costs and flagging issues proactively to ensure the program runs efficiently within allocated resources.
  • Maintain organized, accurate records of event data, participant information, and program activity.
• Marketing and Audience Growth
  • Take responsibility for growing local awareness of and interest in the program among unengaged Jewish young adults in your city.
  • Work in close collaboration with Mem Global's national marketing consultant to monitor social media campaign performance and make real-time adjustments to language, content, and targeting based on what the data is telling you.
  • Build a local outreach infrastructure that goes beyond social media: cultivating partnerships, engaging super-connectors, and activating trusted voices in the community to spread the word.
  • Champion word-of-mouth and peer invitation strategies — one of the most powerful drivers of engagement among our target audience — by equipping participants to invite friends and creating experiences so good that people want to share them.
• Data Collection and Learning
  • Implement data collection and impact evaluation tools — including pulse surveys, post-event feedback mechanisms, and participant tracking — in alignment with the national evaluation strategy.
  • Capture and synthesize participant feedback, attendance trends, and engagement patterns to generate actionable insights that can improve program design over time.
  • Be a reflective practitioner: after each event, document what worked, what didn't, and what you'd do differently — and bring those lessons into your next iteration.
  • Identify and communicate trends in attendance, retention, and participant interests to the Associate Director, Social Innovation and Strategy to inform the broader learning agenda.

Who You Are: 

• Natural connector: You genuinely love meeting new people. You are warm, socially fluent, and able to build trust quickly across a wide range of personalities and backgrounds.
• Entrepreneurial do-er: You are energized by building from scratch. You are self-directed, resourceful, and able to make good decisions without a perfect roadmap.
• Creative experience designer: You have a knack for designing experiences that feel fresh, fun, and relevant. You know what brings people in, and what makes them come back.
• Data-driven decision maker: You use research and data to guide decisions, not just to report on them. You are curious about what's working and what isn't, and you design programs to test hypotheses and generate insights that matter.
• Organized operator: You can manage event logistics, budgets, timelines, and communication systems without letting details fall through the cracks.
• Mission-driven: You genuinely care about helping young Jew-ish adults find connection, joy, and a sense of belonging and understand why it matters.
• Culturally fluent: You get the nuance of where many young, culturally Jewish adults sit in relation to Jewish identity. You meet people where they are, without judgment or pressure
• Test-and-learn oriented: You are as interested in what doesn't work as what does. You see iteration as a feature, not a failure.
• You have a Bachelor's degree and a minimum of four years of full-time professional work experience in community building, event programming, social impact, or a related field. Four additional full-time professional work experience may be substituted for the degree. 
• You have demonstrated experience designing and executing events or experiences - especially for young adult audiences. 
• You have experience working in a start-up, entrepreneurial, or build-from-scratch environment, strongly preferred. 
• You have a background in Jewish communal work, young adult engagement, or mission-driven nonprofits, is a plus.
• You are comfortable with basic data collection, analysis, and reporting.
• You are eligible to work in the United States without employer sponsorship.
• You embrace and demonstrate the Mem Mindset: Be the Difference, Connect & Listen, Invest Wisely, Embrace the Unknown, Own It!, Value People, and Work Well, Live Well, and Have Fun!

The Fine Print:

The City Connector is a full-time, exempt, year-round position and requires weekday work hours to complete job requirements, plus occasional evenings and weekends, as needed to support programs and events. This role works either in our hub office in Washington, D.C., or remotely out of Austin Texas or San Francisco, California, and reports directly to the Associate Director, Social Innovation and Strategy.   

In our U.S. Hub Offices, our team works a hybrid schedule where employees can choose to work remotely 2 days per week and collaborate in-person with coworkers the rest of the week, with Wednesday designated as a shared in-office day for connection and collaboration. Specific schedules may vary by location and role. 

How Mem Global Takes Care of You:

• Healthcare: Health, vision, dental, and mental health benefits 
• Time off: 15 days paid time off (PTO) per year that increases with continued employment (additional benefits for former Hillel and BBYO employees through the Talent Alliance) PLUS 5 Personal WellBeing Days, office closures, and up to 7 floating holidays for Jewish and US holidays
• 401(k): 100% match on the first 3%, plus an additional 50% matching on the 4th%, matching available immediately without a wait period
• Flexible Spending Account options
• Paid Parental Leave
• Quarterly paid day of service to give back to your community!
• Highly qualified, creative, and go-getter teammates and a dedicated supervisor

How Mem Global Pays You:

The starting salary range for this full-time exempt position is:

• Remote in Austin, TX: $70,000 - $80,000
• Hub Office in Washington, D.C.: $75,000 - $90,000
• Remote in San Francisco, CA: $85,000 - $100,000
• Your specific salary within these ranges will take into consideration education, experience and location.

How Mem Global Invests in You:

• $750 USD annual professional development fund
• Jewish Learning Collaborative: One-on-one Jewish learning with an approved educator of your choice
• Local and in-house professional learning opportunities
• Opportunities for advancement through career pathing planning

All voices are needed at Mem Global (please see our identity statements for more details). Every new member of the Mem Global team is an opportunity for us to introduce fresh perspectives, talent, and skills into both our professional team and our communities. We look for employees from diverse backgrounds, faiths, and life experiences to join our global team.

Mem Global is proud to be an equal opportunity employer and is committed to building a diverse and inclusive workplace. We prohibit discrimination and harassment of any type and provide equal employment opportunities to employees and applicants without regard to any characteristic protected under federal, state or local law (including the California Fair Employment and Housing Act). We consider all qualified applicants based on skills, experience, and alignment with our mission. Mem Global is committed to ensuring an accessible and inclusive hiring process.  If you need an accommodation at any point in the application or interview process, please email Careers via (careers@memglobal.org). We will provide reasonable accommodations in accordance with applicable law and engage in a timely, good‑faith interactive process to identify effective solutions.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

The Role

Gradial is looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work. 

You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.

What You'll Own

• Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
• Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
• Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
• Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
• Mentor and guide other engineers; influence engineering culture, standards, and best practices
• Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
• Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
• Operate without silos: own the problem and the solution from end to end

What We're Looking For

• 5+ years of professional experience
• Proven experience delivering complex systems in fast-paced or ambiguous environments
• Deep technical expertise in algorithms, distributed systems, and software design
• Strong communication skills and the ability to influence across functions
• Experience solving high-variance or unstructured problems with elegant, product-minded solutions
• Background in math, physics, systems engineering, or other technical domains
• High ownership mindset with a track record of going from 0→1

Nice to Have

• Experience in high-growth or early-stage startups
• Familiarity with AI/ML tooling and LLMs
• Proficiency with TypeScript or similar languages

Compensation 

The salary range for this position is $130,000 – $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

The Role

Gradial is seeking a Principal Software Engineer to drive the architecture and technical vision behind AI-native systems that transform how creative teams build and update websites. As a foundational technical leader, you’ll push the boundaries of how LLMs can power real-world workflows and reimagine the intersection of language, software, and creativity. 

You’ll work closely with engineering, product, and design leaders to shape not just features, but the technical backbone and strategic direction of the company. This is a rare opportunity to set the blueprint for a fast-evolving product in a high-agency, low-ego environment committed to solving hard problems from first principles. 

What You'll Own

• Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI. 
• Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration. 
• Set engineering standards and influence system design across the stack, with a focus on performance, reliability, and long-term extensibility. 
• Design learning systems that integrate customer feedback, usage data, and brand preferences to evolve autonomously over time. 
• Mentor senior engineers, fostering a culture of technical excellence, rapid iteration, and ownership. 
• Collaborate deeply with product and design leaders to rethink how interfaces and features dynamically adapt to user intent. 
• Champion best practices in testing, observability, deployment, and operational excellence to ensure system health at scale. 
• Own critical, ambiguous problem spaces from end to end, advocating for technical and product innovation. 

What We're Looking For

• 8+ years of professional software engineering experience, including significant leadership of complex technical initiatives. 
• Deep expertise in distributed systems, algorithms, and scalable software design. 
• Proven track record architecting and shipping systems in fast-moving, high-ambiguity environments. 
• Hands-on experience with LLM integration, generative AI frameworks, or building AI-native applications. 
• Strong communication and cross-functional leadership skills, with the ability to influence technical and non-technical audiences. 
• High-agency, ownership-driven mindset with a passion for solving real-world problems at scale. 
• Background in technical fields such as computer science, mathematics, physics, or systems engineering. 

Nice to Have

• Experience building or scaling AI agent architectures for production environments. 
• Prior experience in early-stage startups where you owned both strategy and execution. 
• Passion for designing systems that blend technical sophistication with elegant, intuitive user experiences. 

Compensation  

The salary range for this position is $160,000 – $250,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.

You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.

Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.

Primary Job Responsibilities:

• Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
• Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
• Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices
• Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
• Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
• Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
• Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
• Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
• Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested

Skills and Qualifications:

• Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
• 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
• Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
• Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
• Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
• Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
• Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
• Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
• Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
• Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
• Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
• Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $170,000-$240,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. 

You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. 

Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence.  

Primary Job Responsibilities:

• Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities 
• Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards 
• Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices 
• Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
• Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
• Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities 
• Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects 
• Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices 
• Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles 
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested   

Skills and Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 
• 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction 
• Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
• Experience delivering production-grade GenAI or LLM-based systems with measurable business impact 
• Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus 
• Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake 
• Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
• Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
• Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
• Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
• Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
• Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $125,000-$180,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Primary Job Responsibilities:

• Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
• Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
• Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
• Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
• Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
• Ensure MLOps roadmap items are delivered on time and have exceptional quality
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
• Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
• Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 3+ years of experience in an engineering leadership role, managing globally distributed teams
• 6+ years of experience in hands-on development of Machine Learning algorithms
• 6+ years of experience in hands-on deployment of Machine Learning services
• 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
• Ability to be a team player who can also work independently
• Experience working across multiple development teams is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $240,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. 

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices. Collaborating closely with scientists and software engineers, you will enable new AI capabilities for Dedrone products. As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Multi-modal Sensor Fusion to Real Time Systems with distributed edge compute.

The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling drone safety measures across Public Safety, Enterprise and Defense domains.

What You’ll Do

Location: Hybrid from Seattle, WA
Reports to: VP, Dedrone Engineerin

• Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
• Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
• Implement on device monitoring solutions used for continuous model improvement
• Implement innovative model compression solutions to enable AI at the edge.
• Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
• Experience with AI on chips, on device model deployment and management.
• Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with on chips development.
• Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
• Comfort communicating and interacting with scientists, engineers and product managers.

Preferred

• Master’s Degree or PhD in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
• Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Your Impact 

Are you eager to contribute to building AI products impacting the world for the greater good?

As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company’s mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon’s products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud.

As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding.

What You’ll Do

Location: Hybrid from our office in Seattle, Washington. 
Reports to: Manager, Machine Learning Engineering

• Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
• Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
• Architect platforms that accelerate research and AI product development.
• Collaborate with scientists in architecting and implementing state-of-the-art training techniques.
• Set high standards for ethical and responsible AI development.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
• 6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud.
• Experience with Infrastructure-as-code and cloud architecture.
• Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with Linux.
• Excellent problem solving skills and ability to dive deep into system architecture.
• Excellent software design skills.
• Comfort communicating and interacting with scientists, engineers and product managers.

What You Bring

• Master’s Degree/PhD in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
• Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.).
• Hands-on experience with fine-tuning large parameter models.
• Familiarity with model encryption and privacy preserving AI techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Your Impact 

Are you eager to contribute to building AI products impacting the world for the greater good?

As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company’s mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon’s products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud.

As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding.

What You’ll Do

Location: Hybrid from our office in San Francisco, CA. 
Reports to: Manager, Machine Learning Engineering

• Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
• Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
• Architect platforms that accelerate research and AI product development.
• Collaborate with scientists in architecting and implementing state-of-the-art training techniques.
• Set high standards for ethical and responsible AI development.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
• 6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud.
• Experience with Infrastructure-as-code and cloud architecture.
• Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with Linux.
• Excellent problem solving skills and ability to dive deep into system architecture.
• Excellent software design skills.
• Comfort communicating and interacting with scientists, engineers and product managers.

What You Bring

• Master’s Degree/PhD in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
• Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.).
• Hands-on experience with fine-tuning large parameter models.
• Familiarity with model encryption and privacy preserving AI techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our San Francisco, CA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Your Impact

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?

As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.

The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of a new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling features transforming the life of officers, and driving a positive impact in the public safety space.

What You’ll Do

Location: Hybrid from Seattle, WA
Reports to: Senior Director, AI Platform Engineering
Direct Reports:

• Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
• Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
• Implement on device monitoring solutions used for continuous model improvement
• Implement innovative model compression solutions to enable AI at the edge.
• Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
• Experience with AI on chips, on device model deployment and management.
• Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
• Advanced knowledge and hands-on experience with on chips development.
• Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
• Comfort communicating and interacting with scientists, engineers and product managers.

Preferred

• Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
• Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
• Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

How you’ll have an impact at Paula’s Choice:  

Paula's Choice is seeking a Global Director of Controls and Financial Operations to lead the oversight, implementation, and continuous improvement of our financial control environment across the organization. This is a hands-on leadership role where you'll serve as the steward of our controls framework while remaining deeply engaged in execution. You'll balance compliance rigor with business partnership, ensuring our controls enable growth rather than constrain it—acting as a trusted partner to the business, not a policeman.

As Director of Global Controls and Financial Operations, a typical day might include a mix of the following:

• Oversee the global financial controls framework, ensuring alignment with Unilever's corporate governance standards and applicable regulatory requirements across all markets. This includes managing corporate audit processes, SOX compliance, and regular Big4 audits, while driving continuous improvement in control maturity across regions.
• Directly manage accounting operations and financial reporting functions for North America and Australia, with two direct reports: an Accounting Manager and a Financial Reporting and Controls Manager. Set the tone for hands-on problem solving and direct contribution.
• Assess and elevate control maturity across APAC and other regions where standards lag behind North America and Europe. Develop practical roadmaps to close gaps without creating unnecessary burden on local teams.
• Own day-to-day execution—building financial models, drafting control documentation, proposing process improvements, and driving adoption across the organization. This is not a supervisor-only role; you will be a doer.
• Champion AI adoption within the controls and accounting function, leading the transition of manual reconciliations and repetitive control activities to AI-driven processes. Partner with Finance AI initiatives to identify high-impact automation opportunities and set the pace for adoption across North America and Australia, serving as a model for other regions.
• Partner with business leaders to translate controls into business language, identifying and mitigating financial and operational risks without creating unnecessary friction.
• Ensure compliance with Unilever's broader corporate requirements while maintaining Paula's Choice's operational agility and speed.

The Details:

• Location: We are based in Seattle, WA. Local candidates are preferred for face-to-face collaboration.
• Hours: Typical PST business hours
• Physical requirements: Ability to handle long periods of both sitting & screen time
• Travel requirements: Less than 3%

What you’ll bring to the table:

• 8-12 years of progressive accounting and financial controls experience, ideally in a multi-region or multinational environment. Big Four audit or corporate controls background is a strong plus.
• Comfort with financial systems and tools—NetSuite, data platforms, and Excel modeling should feel natural. You don't need to be a technologist, but you should be able to own technical implementation.
• A balance of strategic thinking and practical execution. You design frameworks, but you also build the spreadsheets and write the proposals that make change happen.
• Understanding that controls serve the business. You can speak both the language of compliance and the language of commercial reality.
• Ability to work across cultures and regions, recognizing that control maturity varies and requires tailored, pragmatic approaches rather than one-size-fits-all mandates.
• Strong communication skills—you can explain complex control concepts to non-finance leaders and executives in ways that drive action and build trust.
• Genuine curiosity about AI and automation in finance. You don't need to be a technologist, but you should be excited about how AI can transform tedious control work into strategic oversight. Experience with or openness to AI-assisted tools is a strong plus.
• Comfort with ambiguity and a bias toward action. Paula's Choice is evolving; you'll help shape how we do that responsibly.

What can help you really stand out:

• Experience leading within a DTC-led premium brand

Approximate Salary Range Based on Experience and Location:

$170,000 - $190,000 USD/annually

#LI-NG1

Snapshot

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.   

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps. We unlock useful generative AI experiences through deep OS and app integrations, including the quick access Android overlay, embedded app entry points, and novel screen context capabilities. As shepherds of the largest volume surfaces in Gemini, we aim to guide users to understand the value of generative AI, including unique capabilities outside of the full screen Gemini app. We are a global team with designers based in Europe and US, and engineering and product partners in those locations as well as India. We partner closely with other UX designers in the Gemini App team, including research and modelling.

Role

We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.
• Contribute to product strategy and manage stakeholders: Use strong communication skills to collaborate with Product, Engineering and influence relevant stakeholders (e.g. in Gemini App, Android, other Google Apps) to define product strategy and influence key cross-functional decisions that drive positive user outcomes. 
• Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.
• Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.
• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
• Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.
• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
• Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.
• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.
• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs
• A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.
• Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.
• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products
• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product 
• Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward  in the absence of data. 
• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking
• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams
• A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful. 
• Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.

Preferred Qualifications

• Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions. 
• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
• Experience vibe-coding with tools like Loveable, ReplitFigmaMake, AI Studio, Cursor or AntiGravity.
• Experience with front-end development technologies (HTML, CSS, JavaScript, React, Swift, Jetpack Compose) and coding tools (CLIs, IDEs).
• Demonstrable experience designing polished, highly performant mobile apps and experiences requiring OS integrations (Android, iOS).
• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

As a leader in our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.

Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
• Degree in Computer Science or a related field, or equivalent experience
• 3+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases
• Located in Washington, D.C. and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Snapshot

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.   

About Us

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.  We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.

Role

We are seeking a highly experienced, self-starting, and innovative Senior AI Product Designer to join the Gemini App Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use  Google’s best AI models to enrich their lives and realize their potential.  You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Responsibilities:

• Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.
• Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.
• Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.
• Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.
• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
• Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.
• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
• Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.
• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.
• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs
• A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.
• Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.
• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products
• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product 
• Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward  in the absence of data. 
• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking
• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams
• A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful. 
• Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.

Preferred Qualifications

• Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions. 
• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
• Experience with front-end development technologies (HTML, CSS, JavaScript).
• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.
• Experience mentoring more junior teammates, but note this is not a manager role

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Join us to build the truth engine behind better mental health outcomes.

As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.

Your work will set the default methods for how we answer questions like:

• Did this actually cause the outcome we care about?
• How sure are we, and what should we do given that uncertainty?
• What evidence is strong enough to change strategy, policies, or spend?

A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action. Think of it as a shared language that prevents the organization from treating a correlation like a law of physics, while still moving fast.

What you will do

• Own causal inference and experimentation standards across Headway. Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.
• Build the confidence ladder for company knowledge. Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths. Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.
• Design the learning strategy for our hardest questions. Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics. Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.
• Raise the organization’s statistical maturity. Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing). Build training, playbooks, and reusable tooling.
• Be the escalation point for difficult measurement problems. Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.
• Partner with Data Platform and Engineering to make rigor scalable. Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring. Help define the minimal foundations required for trustworthy learning.
• Build a culture of clear claims. Establish norms for separating facts, estimates, assumptions, and uncertainties. Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.
• Mentor and set the bar. Coach other data scientists and analytics leaders. Create review standards for causal work, support hiring for methodological depth, and represent Headway’s measurement philosophy internally and externally when appropriate.

What will make you successful

• 12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).
• Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.
• Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.
• Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.
• Track record of setting org-wide standards that materially improved decision quality and execution velocity.
• Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.
• Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.
• Motivation for our mission: improving access and affordability in mental healthcare.

Nice to have

• Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.
• Experience with experimentation under interference and network effects.
• Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.
• Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-MG1

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.

ABOUT ROCKET MONEY 🔮

Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.

ABOUT THE ROLE 🤹

As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will:

• Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
• Design, implement, and maintain robust evaluation frameworks. You ensure that ML/AI systems can be constantly improved and create frameworks so that others can do the same.
• Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it’s unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
• Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
• Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.

Potential Projects:

• Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI/ML product features.
• Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
• Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
• Architect user facing predictive features that depend on fast moving and large scale user transaction data.

ABOUT YOU 🦄

• 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
• Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
• Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
• Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
• You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You’ve owned the development, launch, and maintenance for several scaled ML/AI powered product experiences.
• You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
• You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
• You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.

WE OFFER 💫

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $210,000 - $260,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.