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

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship.

#LI

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship. 

#LI

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

Location: San Jose, California (Hybrid)
Annual salary: USD 160,000– USD 195,000
Type: Full-Time
Reports to: Chief of Staff

About the Role

At Nex, we believe that how we grow is just as important as how fast we grow. As People Director, you’ll be the architect behind that growth — helping us nurture great leaders, empower our teams, and scale our culture with intention.

You’ll partner closely with our U.S. leadership team (and later Canada and the U.K.), strengthening how we lead, develop, and connect. This role calls for someone who thrives at the intersection of strategy, empathy, and action — a person who sees the unseen in teams, brings out potential in others, and knows that culture isn’t a buzzword but a daily practice.

This isn’t a systems‑builder role — it’s a capability‑builder role. You’ll spend your days helping people make better decisions, shaping thoughtful leadership habits, and keeping the human heartbeat of Nex strong as we scale across time zones and stages of growth.

What You’ll Do

• Be a trusted strategic partner. You’ll work shoulder‑to‑shoulder with executives and managers to design teams, make brave talent decisions, and navigate the gray areas—performance conversations, restructures, or organizational pivots—with empathy, fairness, and confidence.
• Coach and develop leaders. You’ll create experiences that grow people—manager training, feedback frameworks, leadership workshops, and one‑on‑one coaching that helps our teams stretch, learn, and step into bigger versions of themselves.
• Design how growth happens. You’ll own Nex’s global approach to Learning & Development. From building clear career pathways to shaping how performance conversations feel, you’ll ensure every employee knows where they stand and where they can go next.
• Shape and protect our culture. As we scale, you’ll help weave connection, inclusion, and belonging into every corner of Nex. You’ll look out for the subtle shifts that hint at culture drift and help us realign—keeping Nex a place where people feel seen, supported, and proud to contribute.
• Build what’s next. You’ll start as a high‑impact individual contributor, hands‑on and strategic. As we grow, you’ll hire and lead a small team of exceptional People professionals focused on learning, leadership, and employee experience.

What You Won’t Own (But Will Partner On)

Clarity is kind to everyone, so here’s what lives elsewhere:

• People Ops Manager owns systems, data, benefits, compliance, documentation, and the mechanics of cyclical programs like reviews and surveys.
• You’ll partner with People Ops on performance philosophy, onboarding content, and employee experience initiatives—you bring the why and what, they ensure the how runs smoothly.
• Talent Acquisition owns recruiting and hiring operations.
• You’ll partner with TA on senior hiring, interview training for managers, and workforce planning to align great talent with business growth.

You Might Be a Great Fit If You

• Are the kind of business partner leaders seek out—not just for answers, but for perspective.
• Love helping people grow and have a track record of creating real, behavioral change through your coaching or programs.
• Are energized by ambiguity and can read the room—balancing empathy, honesty, and strategic clarity.
• Lead with both heart and backbone. You build trust quickly because you listen deeply and communicate with respect and candor.
• Understand how to build community and momentum across distributed, remote‑first teams.
• Align to Nex's values. You resonate with the culture we're building—read "The Language We Use," "The Promises We Made," and "The Differences We Leverage" to understand what we stand for.

Your Background

• 10–12 years of progressive experience in People/HR, with meaningful depth in HR Business Partnering and Learning & Development.
• Proven experience advising senior leaders and shaping leadership strategy, not just supporting execution.
• Comfort working in fast‑growing environments (from ~100 to 200+ employees) and seeing around corners as the company evolves.
• Global or multi‑country experience is a plus—you know how to scale people practices across cultures.

Bonus Points For

• Experience in an IPO or late‑stage growth environment.
• Background in tech, gaming, or consumer product organizations.
• Formal training or certification in coaching, facilitation, or organizational development.
• Lessons learned from a startup that didn’t go as planned—and what that taught you about resilience and leadership.

#LI-Hybrid

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning, and action in embodied systems.

This role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence.

Responsibilities

• Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception)
• Build models that learn structured representations of the world, including objects, dynamics, and interactions
• Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning
• Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning
• Work across the model lifecycle, from initial research and prototyping to training and deployment
• Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack
• Design experiments and evaluation frameworks to understand model behavior and guide iteration
• Contribute to the development of new modeling paradigms for embodied AI systems

Requirements

• Experience designing and training deep learning models for vision, language, or multimodal systems
• Strong understanding of modern model architectures (e.g., transformers and related approaches)
• Experience improving model performance through architectural innovation and experimentation
• Proficiency in Python and deep learning frameworks such as PyTorch
• Strong experimental rigor and ability to iterate on model design and performance
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

• Experience with multimodal models (vision-language or vision-language-action systems)
• Background in representation learning, world models, or structured prediction
• Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI
• Familiarity with embodied AI, robotics, or real-world ML systems
• Experience with large-scale training or distributed systems
• Publication record in machine learning, computer vision, NLP, or multimodal AI

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.

This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability—forming the backbone for downstream capabilities in perception, planning, and action.

Responsibilities

• Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
• Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
• Explore and implement architectures including transformer-based and emerging foundation model paradigms
• Work on scaling laws, dataset mixture design, and training dynamics for frontier models
• Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
• Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
• Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
• Contribute to post-training approaches including fine-tuning, alignment, and model adaptation

Requirements

• Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
• Strong understanding of modern deep learning architectures, especially transformers
• Experience with large-scale distributed training and optimization
• Proficiency in Python and deep learning frameworks such as PyTorch
• Strong experimental rigor and ability to iterate on model design and training strategies
• Solid software engineering skills and ability to build scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications

• Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
• Experience with multimodal pretraining (vision-language or vision-language-action models)
• Background in scaling laws, dataset curation, and large-scale data mixture optimization
• Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
• Familiarity with embodied AI, robotics, or real-world deployment constraints
• Publication record in machine learning, NLP, or multimodal AI

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As an AI Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for an AI Extern to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience/exposure to analyzing large and complex data sets related to web products. You'll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.

What will you do?

• Language Model Optimization: Engage in the refinement and enhancement of language models, including fine-tuning and retraining to meet specific requirements.
• Cross-Functional Collaboration: Actively collaborate with the product and development teams to conceptualize and design effective machine learning models and algorithms tailored to our products' needs.
• Product Enhancement Partnership: Work closely with product managers, initiating and implementing proactive strategies to elevate the functionality and user experience of our products.
• Data Handling Expertise: Handle extensive text data, demonstrating proficiency in managing, analyzing, and deriving insights from large datasets.
• Coding for Production: Develop and maintain production-ready code, ensuring robustness and efficiency. Collaborate with the DevOps and ML-Ops teams to integrate machine learning models seamlessly into production environments.
• Database Proficiency: Write and optimize SQL queries, showcasing your ability to interact with and manipulate databases effectively.
• Team Dynamics and Impact: Thrive in a team-oriented environment, contributing positively to the team spirit. Enjoy a fun and dynamic work culture while taking pride in developing a world-class product that significantly impacts people's lives

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. 

Requirements

• Currently enrolled in or recently graduated from a Master’s or PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics,Operations Research, or Engineering 
• Completed coursework in NLP and LLM
• Deep understanding of neural networks and deep learning and generative AI
• Familiarity with reinforcement learning
• Experience building predictive models and causal inference models
• Familiarity with generative AI
• Experience analyzing large and complex data sets
• Experience using tools like Pytorch (preferably) or Tensorflow
• Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences

Bonus (Great to have but not required)

• Experience analyzing two-sided marketplaces
• Experience with B2C, marketplace products
• Experience with BI tools like Tableau and Looker
• Experience with inference models

Benefits

• The chance to build something that changes lives – and that people love
• An awesome community of co-workers
• Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding.
• Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth.
• Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship.

The hourly rate for this position is $50 - $60 per hour.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.