Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

P-226

As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

Our People team is a high-performing group, deeply committed to our Karbonites and values. We are looking for a true partner who is commercially sharp, proactively curious, and fluent in both the people discipline and the AI tools redefining how great HR professionals work. Reporting to the VP of People, this role’s main client group includes our Customer and Sales teams, with the unique opportunity to partner with executive leaders to drive performance, engagement, and provide real business insights. 

We are looking for someone unique. You’re the right HR partner for us if you walk into every leader conversation already knowing the business context, GDR, NDR, churn, pipeline health, quota attainment etc., and you'll bring people insights that leaders haven't or don’t even know to ask for yet. You’re highly AI-centric and use AI agents and agentic workflows as a natural extension of how you work, not as an experiment, and you're excited about what that means for the future of the people function and the teams you support.

This is not just a case management role. You'll spend as much time anticipating the challenges as solving them, and you'll be as comfortable challenging a VP's org design decision as handling a complex ER matter, and just as comfortable deploying an AI agent to synthesize engagement data as facilitating a critical performance conversation.

About the Role

• Partner proactively and deeply with senior leaders across Customer and Sales, understanding their commercial model, team dynamics, and company metrics well enough to shape the people agenda without being prompted.
• Actively use AI tools and agentic workflows to surface insights, automate routine work, and elevate the quality of everything you deliver, from data analysis and trends reporting to preparing for leader conversations and running project workstreams.
• Use AI to effectively report and manage complex employment relations cases with ease and simplicity, while coaching, guiding, and empowering leaders to own them end-to-end.
• Review and stay current on various reporting for your client groups, understanding the metrics that matter at a level that you can connect to the people strategy.
• Challenge leaders constructively, balancing strong support with the willingness to push back on decisions that carry people or business risk, using data and AI-generated insights to back your position.
• Leverage people data and analytics to build narratives that drive leadership alignment, you use AI to go deeper and faster, and you bring insights to the table, not just reports.
• Own and drive HR project management across your client groups, keeping initiatives structured, on track, and delivered to a high standard, with AI embedded in how you manage and execute.
• Build trusted, high-quality relationships with VP and C-suite level stakeholders, showing up as a peer to the business, not a support function.
• Be a change agent for people programs, influencing without authority and driving adoption with credibility and evidence.
• Partner closely with People Ops, TA, and L&D to deliver a seamless employee experience across the full lifecycle.
• Contribute to global People initiatives across Karbon's six operating regions.

About You!

• 5+ years of progressive HR experience, including some business partnering, and at a minimum, a strong generalist background.
• Prior SaaS or high-growth tech experience is essential. You understand how a GTM organization operates, what drives CS and Sales performance, and how to speak the language of revenue.
• Genuine GTM domain fluency — you have a baseline knowledge of key metrics relevant to a Customer and Sales org i.e. GDR, NDR, churn, pipeline coverage, and quota attainment, and you use them naturally in people conversations.
• A proactive partnering instinct is essential; you don't wait to be asked. You review data, attend business reviews, and bring people insights before leaders know they need them.
• Demonstrated ability to build credibility at a senior level — you show up as a peer, not a support function.
• Proven ability to challenge leaders constructively — you're trusted precisely because you'll push back when it matters, not just validate.
• Data fluency — you build compelling narratives from people data, increasingly powered by AI, that influence strategic decisions.
• Hands-on fluency with AI tools and agentic workflows — you actively use them every day to improve your output, automate repetitive work, and move faster. This isn't aspirational; it's how we already operate. You should too.
• Strong working knowledge of US employment law and HR compliance. Multi-state experience highly valued.
• A project driver: known for delivering results across multiple initiatives simultaneously without close supervision.
• Experience coaching senior leaders through org design decisions, workforce planning, and the strategic and human implications of building AI-augmented teams.
• Unquestioned integrity, high EQ, and personal maturity — you handle sensitive situations with compassion and discretion.
• Genuine curiosity about where AI is taking the future of work, and an appetite to be at the front of that curve, not catching up to it.

Why Work at Karbon?

• Your client group includes those at the executive table - Chief Customer Officer, 2x VP of Sales
• You'll be part of a People team actively building the AI-forward model for how HR operates — you won't be told to use AI; you'll help shape how we do it.
• Global exposure across the USA, Australia, New Zealand, UK, Canada, and the Philippines.
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!

We are looking for a NLP Research Intern to join our research team this summer. The intern will develop a computational framework using Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze therapeutic dynamics. The primary goal is to identify linguistic patterns predictive of clinical and therapy outcomes across key populations. This role culminates in the production of high-impact, peer-reviewed clinical evidence.

*This is a remote position based on Eastern Time. Talkspace Headquarters is located in NYC*

As part of your application, please include a cover letter. We’d love to hear why you're interested in Talkspace and this internship in particular. Make it personal—we want to hear your voice, not ChatGPT's 😉. 

Internship Details:

• Duration: June 1st, 2026 - August 21st, 2026
• Commitment: 20 hours per week
• Projects: You'll work on 2-3 key initiatives, with one serving as your final deliverable. 
• Compensation: Our compensation policy ensures a minimum of $15/hour or the legally required local minimum wage, whichever is greater, to maintain fairness across regions.
• Mentorship: You'll be paired with a Talkspace mentor to guide you throughout the program.

What You’ll Do

• Build and refine tools for model training, and evaluation specifically for conversational data.
• Design and apply methods for keyword/topic extraction, emotion/sentiment identification, and text summarization to de-identified transcripts.
• Analyze conversational dynamics to determine which patterns correlate with patient engagement, adherence, and clinical improvement.
• Assist in translating clinical research questions into machine learning workflows.
• Apply the NLP framework to specific demographic cohorts (e.g., veterans, teens, women) to identify unique therapeutic needs.
• Synthesize complex technical methodologies and findings into academic-quality manuscripts.
• Prepare at least one manuscript for submission to a top-tier peer-reviewed journal (e.g., Nature Digital Medicine or JMIR).
• Implement best practices in AI ethics and bias mitigation.
• Maintain clean, documented code following best practices for reproducibility and sharing.

About You 

• Currently pursuing a PhD or Master’s in Computer Science, Computational Linguistics, Data Science, or a related Engineering discipline.
• Strong proficiency in Python and SQL, with experience in NLP libraries
  • Familiarity with deep learning frameworks and LLM fine-tuning/prompt
    engineering.
  • Experience with cloud-based environments (AWS) is a plus.
• Proven track record of research, evidenced by at least one peer-reviewed publication or workshop paper in a relevant venue.
• Understanding of healthcare data privacy (HIPAA) and a commitment to identifying and mitigating bias in AI models.
• Ability to articulate complex technical methodologies clearly for both technical and non-technical (clinical/business) audiences.

Why Talkspace? 

Talkspace is the world’s leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world’s population – 2 billion people – live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible.

Combining our passion for innovation along with our desire to help others overcome the stigma behind “getting help,” we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-certified clinicians are increasing access to mental health for our members through a myriad of high quality therapy services: anytime and for a fraction of the price. Dedicated to our mission, we are looking for candidates that want to bring their talents into a diverse  “for purpose” space. If you’re equally as passionate about making quality mental healthcare accessible to all then Talkspace is the right place for you!

EQUAL OPPORTUNITY EMPLOYER

Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification, if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team.

Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace? 

Diversity

Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background.

Equity

Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care.

Inclusion

Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual.

Belonging

Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.

About the Role

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company.

The Algorithmic Recommendations and Audience Data Science team aims to help users discover content across the Times' website, apps and emails by applying algorithms that make use of information about our readers' behavior and our editorial judgment. We also build internal tools for the newsroom to better understand story performance and coverage trends. We are a group of machine learning scientists and data analysts that partner with teams across The New York Times. We are looking for a Machine Learning Scientist to join the team and apply machine learning methods to meet this challenge. You will report to a Lead Machine Learning Scientist, and collaborate with partners across the company.

Responsibilities:

• You will reframe business and newsroom goals as machine learning tasks that deliver accurate predictions, relevant insights, and optimization

• You will adapt or develop machine learning algorithms in cases when existing algorithms are insufficient, while implementing simple approaches when appropriate

• You will implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs

• You will turn models into data products, collaborate with engineering teams, and integrate into processes throughout The Times

• You will communicate complex ideas in machine learning while collaborating with technical and non-technical colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups

• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

• 2+ years experience with open source machine learning or statistical analysis tools

• 2+ years coding experience in Python

• 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

Preferred Qualifications:

• 1+ year of experience with recommendation systems, using natural language processing and small and large language models.

• 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

• 1+ years of experience translating ambiguous business questions into machine learning problems

• 1+ years of experience building data products, either internal or consumer-facing

REQ-020029

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Responsibilities 

As a Quantitative Developer, you will work closely with our research and engineering teams to contribute to solutions across strategy research, systematic trading, and risk management. Working under the guidance of senior team members, your work will include:

• Contributing to global multi-market connectivity and cross-region, multi-asset-class data, research, backtesting, and trading systems — taking ownership of well-scoped components and growing into broader areas of the stack

• Helping build and maintain event-driven backtesting and simulation frameworks, with attention to consistency in data semantics and time models across research, backtesting, and production environments

• Implementing and improving pieces of our order management, execution, and real-time risk systems, with a focus on writing correct, well-tested, and performant code

Requirements

• 0–3 years of software engineering experience, including internships; prior exposure to quantitative finance is a plus but not required

• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field

• Solid programming skills and computer science fundamentals; proficient in Python, with working knowledge of (or strong interest in learning) a statically-typed language such as C++, Rust, or Go

• Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job

• Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems

• Sense of ownership over the work you take on, and willingness to ask questions early

• Internship, research, or personal project experience related to trading systems, market data, or backtesting

• Coursework, competitions, or open-source contributions demonstrating strong engineering or quantitative skills (e.g., ICPC, Kaggle, well-maintained GitHub projects)

• Effective use of AI-assisted coding tools (e.g., Claude Code, Cursor, Codex)

Octus delivers breaking news and market-moving intelligence through cutting-edge data and technology for hedge funds, investment banks, and law firms- and we’re transforming how professionals access complex and opaque information. As part of our high-performing AI Innovation team, you’ll help design, build, and productionize modern GenAI and LLM-powered systems that support both client-facing features and internal operational efficiency. You’ll work end to end—from shaping ambiguous problems into scalable solutions to deploying reliable AI models in production - collaborating closely with product, engineering, and infrastructure teams. This is a hybrid role based in NYC (3 days in office per week). Curious about what we’re building? Check out our flagship GenAI product, CreditAI here and our AI framework here.

Responsibilities

• Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs.
• Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows.
• Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case. Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic.
• Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling. Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance.
• Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines.
• Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies.
• Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring.
• Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient.
• Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval, text classification, summarization, and reasoning over text and documents.
• Collaborate closely with engineering and infrastructure teams to deploy solutions using containerized and cloud-based environments (e.g., GitHub, Docker, AWS), applying modern deployment and infrastructure practices.
• Collaborate with product managers, business stakeholders, and domain experts to translate complex, ambiguous business problems into actionable technical solutions, and communicate progress, trade-offs, and outcomes to relevant stakeholders.
• Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development. 
• Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation.
• Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production.
• Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems.
• Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design.
• Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity.
• Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions.
• Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions.
• Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications.
• Strong ownership and initiative, with the ability to independently drive projects from problem definition to delivery, while being a team player and contributing to the overall success of the data science team.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$145,000.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. 

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

Director, Formulation Sales – East Coast

Location: Remote

Reports To: Chief Commercial Officer

Type: Full-Time

Salary Range: USD $140,000–$175,000 per annum (base) + performance-based incentives, commensurate with experience

MAKE YOUR DEBUT

About Debut

Debut is a vertically integrated biotechnology company pioneering the next generation of high-performance cosmetic active ingredients. We combine AI-driven discovery with proprietary bioprocessing to develop the highest performing and clinically proven active ingredients that outperform conventionally sourced alternatives. From molecule to market, Debut controls the full value chain: ingredient discovery, formulation science, clinical validation, and scaled manufacturing delivering novel active ingredients to the global beauty industry faster and with better efficacy data than traditional suppliers.

Summary

Debut is seeking a commercially driven, highly connected Director of Formulation Sales to own and grow our East Coast formulation business. This is a hunter and closer role focused exclusively on selling custom-developed finished formulations to beauty brands, not an ingredient sales role. The right candidate has spent their career inside the beauty contract manufacturing ecosystem, knows how prestige and emerging brands buy, and understands how to move a formulation brief from first conversation to signed commercial agreement. The ideal candidate is deeply embedded in the East Coast beauty community, with active beauty relationships. They will carry an established book of brand relationships, arrive ready to engage immediately, and be comfortable presenting to a VP of Product Development. Reporting directly to the Chief Commercial Officer, this person will serve as Debut’s primary commercial driver for East Coast formulation revenue.

Essential Functions

• Own and drive Debut’s East Coast formulation sales strategy, with full accountability for revenue achievement and expansion of the active customer base across prestige, masstige, and indie beauty segments in the East Coast market.
• Leverage an existing, active network of decision-maker relationships at major beauty brands with a concentration in East Coast-headquartered prestige, masstige and indie brands including VP-level and above contacts in product development, R&D, and procurement, to open doors, secure formulation briefs, and accelerate commercial cycles. Proactively identify, prioritize, and pursue new brand partnerships across skincare and color cosmetics to continuously expand Debut’s East Coast brand portfolio.
• Lead the full formulation sales cycle from initial brand engagement through briefing, proposal, sampling, pricing, and first production purchase order, coordinating closely with Debut’s R&D, Operations and formulation teams throughout. Awarded formulations are manufactured and filled by Debut’s CM partners, and this role is responsible for managing a smooth commercial handoff to ensure seamless execution.
• Develop deep understanding of each brand customer’s NPD roadmap, franchise architecture, launch/portfolio priorities and translate that intelligence into tailored product/formulation proposals that integrate Debut’s active ingredient platform.
• Represent Debut at US and international industry trade shows, brand summits, and brand innovation strategy sessions. Plan and execute brand-facing activations in coordination with the marketing and R&D teams ensuring Debut’s custom formulation capabilities are compellingly presented.
• Build and maintain a rigorous, accurate sales pipeline detailed in Debut’s CRM, providing the CCO with clear visibility into project status, revenue forecasts, and market intelligence on a regular cadence.
• Serve as a trusted commercial partner to brand customers throughout the product development lifecycle, managing the relationship from initial briefing through launch and beyond with the goal of securing repeat ongoing business. Translate market feedback including brand needs, competitive dynamics, and formulation trends into actionable insights that inform Debut’s formulation roadmap, and collaborate cross-functionally with R&D, operations, and the broader commercial team to ensure brand commitments are met.
• Operate with a high degree of autonomy and entrepreneurial urgency in a fast-moving, early-stage commercial environment, building a strong project pipeline while simultaneously closing business.

Education and Experience

The successful candidate will have a genuine passion for beauty and deep roots in the Prestige, Masstige and Indie beauty world. They are a product user, a relationship builder, and a closer.  Someone who understands how brands think and can credibly represent Debut’s formulation capabilities at every stage of the NPD process. They are organized, resilient, and motivated by winning. A bachelor’s degree is required; a background in cosmetic science, chemistry, or product development is a strong plus.

• 8+ years of experience in sales or in beauty product development within the contract manufacturing field or ingredient sales, with a meaningful portion of that time spent selling formulation or custom development services directly to beauty brands.
• Established, active network of decision-maker relationships at major beauty brands, with meaningful concentration in West Coast-headquartered companies across skincare and/or color cosmetics. Candidates must be able to demonstrate existing, active brand relationships, not historical contacts in their application materials.
• Customer-centric mindset with the ability to act as a true extension of a brand’s product development team. Strong interpersonal skills and a natural ability to build trust at every level of an organization.
• Demonstrated track record of meeting and exceeding revenue targets in a B2B formulation or contract manufacturing sales role, with experience managing complex sales cycles from prospecting through to contract execution.
• Strong technical fluency sufficient to engage credibly with brand R&D and product development teams on formulation performance, ingredient claims, and product development timelines without needing to be a chemist.
• Exceptional communication, presentation, and negotiation skills, with the ability to craft and deliver compelling product narratives tailored to brand-specific business priorities. Assertive and confident in closing.
• Willingness and ability to travel domestically and internationally as business needs require, including attendance at Debut’s innovation shows or key industry trade shows.
• Proficiency with CRM platforms (Monday, Salesforce or equivalent) and demonstrated discipline in pipeline management and forecasting. Accountable, KPI-focused, and goal-oriented.
• Experience working in or alongside an early-stage, high-growth company is a plus. Comfort operating in an environment where structure is still being built is essential. Self-motivated, proactive, and able to manage multiple priorities against tight timelines.

Essential Physical Characteristics

The physical characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of a job, on a case-by-case basis.

• Frequent sitting, standing, and walking during customer meetings, trade shows, and extended travel.
• Repetitive use of hands to operate computers, mobile devices, and presentation equipment.
• Ability to carry and transport sales materials and samples weighing up to 30 pounds.
• Frequent domestic and international air travel.
• Ability to navigate diverse physical environments including manufacturing facilities, trade show floors, and customer offices.

Condition of Employment

As part of Debut’s pre-employment process, prospective candidates will undergo a background check prior to beginning employment. Additional types of background investigations may be conducted based on the job-related activities of the position.

Debut is an equal opportunity employer. All applicants will be considered for employment without attention to age, nationality, sex, marital status, pregnancy status, caregiving responsibilities, race, religion, language, disability, or mental health conditions. Employment decisions at Debut are based on merit, qualifications, and business needs.

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.

About the Team:

The Content organization is responsible for identifying, creating or licensing and integrating best-in-class unstructured and structured content into the AlphaSense platform. The team reports to the Chief Content Officer and has strategy, product and content management, collection operations and support responsibilities for each Content vertical. We have been experiencing rapid growth across all content sets. We value and uphold transparency, trust, and accountability in our relationships within the Content teams and with external partners and internal stakeholders.

About the Role: 

We are seeking a Sr. Product Manager for New Content Initiatives and Strategy to help us shape our approach to new content generation and integration. Candidates should have deep knowledge of capital markets and investment research combined with extensive experience of building and managing financial content and AI-powered investment analysis workflows.

Who You Are:

• 10+ years of work experience at a leading financial institution or investment research platform firm as a Product or Content Manager focused on the delivery of content, features, analytics, and models for front-office investment professionals
• 5+ years managing a large, globally distributed content generation operation
• Expert knowledge of various market data and investment research databases, products, and tools (e.g. Fundamentals, Estimates, M&A Transactions data, Ownership data, Market data, Excel plug-in, XML feeds)
• Demonstrated ability to lead a dedicated cross-functional development team of engineers, data experts, QA, scrum master
• Thorough understanding of the logic and concepts of relational and JSON databases; demonstrated experience using them is strongly preferred
• BSc/MSc in engineering, finance, economics, or related field
• Deep passion for corporate finance, capital markets, and investment research, with AI expertise gained from a buy-side/sell-side firm or through deploying and managing products and data for investment professionals
• Natural enthusiasm for working at the intersection of AI, data, technology, and finance and a proven track record of extensively leveraging NLP, machine learning, and generative AI
• Self-starter who has built, launched, and managed a marquee product or run a large content generation operation for the investment community
• Thrives in high-paced, high-growth environments with strong multi-tasking abilities
• Excellent presenter with ability to influence executives and align cross-functional stakeholders
• Empathic communicator who listens well and identifies problems in need of solutions
• Front-office background (research analyst, investment banker) preferred
• Experience at a market intelligence or financial research SaaS startup preferred
• Agile/iterative development methodology experience preferred
• Experience with distributed teams preferred
• CFA certification preferred

What You’ll Do: 

New Content Initiatives and Product Ownership

• Identify the Need:  Become a use case expert for all major AlphaSense user personas. Contribute to market research and competitive analysis to identify net new opportunities for innovation and differentiation. Identify new high impact AI-driven functionality and data sets and formulate the licensing target vendors or self-sourcing strategy to introduce new content into the AlphaSense platform and agentic workflows. 
• Showcase the Value: Leverage rapid prototyping apps and workflows to demonstrate value proposition and expected impact to users or internal operational capabilities while also projecting cost and complexity of implementing new concepts, content, and functionality.
• Own the Content Lifecycle: Take full ownership of the implementation of strategic content initiatives beyond the concept stage: 
• Sourcing analysis and buy vs build assessments 
• Scope and cost of implementation and ongoing operation 
• Business case and funding request
• Cross-functional leadership with engineering and operations in optimizing for the best mix of technology (speed, automation) and person power (flexibility) 
• Cross-domain dependencies management
• Design and implementation of a robust operating KPI framework 
• Content and product launch support 
• Roadmap management 
• Usage data analysis

Content Generation Strategy and Other Team-wide Contributions

• Thought Leadership: Advise product managers and content leads on best practices for content creation, curation, and management across various data sets and platform modules, including data provenance methodologies, metadata strategy and execution, and language model and AI workflow orchestration
• Market Research and Assessment: Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence and better evolve product and content vision. Keep abreast of a rapidly evolving competitive landscape and client expectations along with unprecedented LLM and AI workflow advances.
• Enable Team Efficiency and Scale: Provide guidance, process knowledge, and tooling to foster broader team adoption of rapid prototyping and AI workflow experimentation. Collaborate with product managers and content leads to test implementation scenarios and produce specs without engineering dependencies.

What You’ll Do:

The Insights team at CoreWeave is responsible for helping customers understand what’s happening inside their CoreWeave cloud environments clearly, proactively, and at scale. We build intelligent observability experiences that surface high-value signals across performance, reliability, and cost, enabling customers to operate complex GPU-powered systems with confidence. This team sits at the intersection of infrastructure, observability, and UX, partnering closely with Engineering and Design to turn raw telemetry into actionable insight.

About the role:

As a Staff Product Manager for Insights, you will own the strategy and execution of Insights experiences within CoreWeave’s observability portfolio. Your day-to-day work will focus on defining how customers discover, understand, and act on signals across their AI workloads, through dashboards, alerts, and AI-powered insights. You’ll lead high-impact problem areas such as cost optimization and workload efficiency, shaping how insights are proactively surfaced rather than manually discovered. This role requires deep technical understanding, strong product judgment, and the ability to operate across multiple engineering teams in a complex, data-rich environment. 

In this role, you will:

• Own the Insights product area, defining vision, roadmap, and success metrics across observability experiences.
• Drive AI-powered insights and alerting, including Grafana-based experiences that surface high-signal, low-noise information to customers.
• Translate raw telemetry (metrics, logs, events) into curated, actionable insights that help customers understand performance, reliability, and cost drivers in their AI workloads.
• Partner with Engineering and Design to ship proactive insights, including natural-language and automated analysis where appropriate.
• Go deep on priority domains such as cost optimization, identifying what signals matter most and how they should be presented to drive action.
• Use customer feedback, usage data, and experimentation to continuously validate impact and improve adoption of Insights features.

Who You Are: 

• Strong familiarity with observability systems, particularly tools such as Grafana.
• Hands-on experience with PromQL and LogQL, and a solid understanding of metrics and log-based analysis.
• Experience building or product-managing AI-powered insights, including natural-language or automated signal discovery.
• Strong understanding of cloud infrastructure and customer concerns related to monitoring, performance, reliability, and workload optimization.
• Proven experience translating complex technical data into customer-facing product experiences.
• 5+ years of product management experience, with ownership of technically complex product areas

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love solving hard customer problems using data and systems thinking.
• You’re deeply curious about how customers operate AI workloads day-to-day and how tools can better fit their workflows.
• You consider yourself an expert in cloud infrastructure observability.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

“The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).”

About the Role:

SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel)

CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them.

You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale.

Our Team’s Stack:

• Languages: Python, Go, bash/sh
• Observability: Prometheus, Victoria Metrics, Grafana
• OS & Kernel: Linux Kernel (custom build), Ubuntu
• Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet

Responsibilities:

• Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers.
• Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures.
• Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds.
• Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling.
• "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams.
• Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production.
• Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads.
• Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands.

Requirements:

• 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps.
• Deep knowledge of Linux internals (boot process, kernel modules, networking stack).
• Experience with package management (Debian/Ubuntu) and build systems.
• Strong proficiency in Python (essential for the AI integration aspects of this role).
• Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows.
• Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs.
• Experience building event-driven automation (e.g., using webhooks to trigger analysis agents).
• Familiarity with data structures required for vector search or time-series analysis.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Nice-to-haves:

• Experience with Kubeflow or MLFlow.
• Background in High-Performance Computing (HPC).
• Experience fine-tuning small language models (SLMs) for code or log analysis tasks.

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

[What is marimo]

At marimo, we’re on a mission to make the world’s best open-source programming environment for working with data, together with a world-class, scalable, and performant cloud-hosted counterpart. marimo is a reinvention of the Python notebook — it feels like a next-gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module. Incubated initially with scientists at Stanford, marimo is now used by leading companies, labs, and universities around the world, with millions of downloads since launch and over 17,000 stars on our GitHub repository.

On the marimo team, we believe that the tools we use shape the way we think — better tools, for better minds. If you're passionate about developer tools, thrive in ambiguity, enjoy solving challenging engineering problems at scale, and yearn for greenfield problems, you'll fit right in.

What You’ll Do:

The marimo growth team is responsible for managing and growing the marimo community, playing a critical role in our goal of making marimo the standard Python used by millions of developers around the world. The marimo community is diverse, including AI/ML developers, backend developers, security engineers, data engineers, data scientists, natural scientists, professors, students, and more. The growth team's mandate is to build scalable bottoms-up growth motions across these subcommunities, helping them transform their workflows with our next-generation notebook and bringing back feedback to the engineering team. You will be given high autonomy, and will be trusted to make a large impact.

About the role:

As a senior developer relations engineer on marimo's growth team, you will: 

• Work smart (and hard) to find high-leverage, scalable, and measurable ways to grow usage, ranging from growth-related software engineering to content creation 
• Serving as a technical bridge between Marimo and our users, maintaining relationships with key champions and community members
• Organize and regularly attend events in the SF Bay Area (and around the US when needed)
• Build and nurture relationships with partner open-source projects and DevRel teams to co-create content, integrations, and joint community initiatives

This role is only open for candidates in San Francisco.

Who You Are: 

• 2+ years of experience in software engineering
• 2+ years of experience in developer relations and growth
• Proficiency in Python, with strong fundamentals that are language agnostic
• Technical background in AI, ML, and data science
• Strong communication skills, written and verbal, with a proven track record

Preferred:

• Experience with AI coding models
• Experience with growing open-source communities
• Experience with Python notebooks
• Experience with developer tools
• A relentless focus on data-driven methods and efficiency

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to engage with open-source communities
• You’re an expert in tactically growing user bases
• You're metric-driven
• You thrive in high ownership roles

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do
The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs).

About the Role

We’re hiring a Post-Sales AI Solutions Engineer (AISE), Scale Customer Success to help customers successfully implement and scale AI/ML workflows and GenAI/agentic applications on Weights & Biases. You will design and deliver technical enablement and adoption programs that reach many customers at once, create reusable assets that improve self-serve success, and use product signals and feedback loops to continuously improve outcomes.

Key Responsibilities 

1. Run 1-to-many onboarding and enablement programs
   Own and deliver scalable onboarding and adoption motions (webinars, cohort sessions, group training, and office hours) that help customers get to value quickly and consistently.
2. Build reusable technical assets that drive self-serve success
   Create and maintain playbooks, reference architectures, templates, sample code/notebooks, and troubleshooting guides that standardize best practices and reduce repeated 1:1 work.
3. Operate the scaled motion using signals and feedback loops
   Use product usage signals and customer patterns to segment and trigger the right interventions, track program impact (activation, time-to-first-value, feature adoption), and feed recurring insights back to Support, Product, and Field Engineering to continuously improve the scaled journey.

Who You Are

• 3–5 years of relevant experience in a similar role
• Strong programming proficiency in Python
• Experience with deep learning frameworks (TensorFlow/Keras, PyTorch Lightning) and tools (e.g., Streamlit, LangChain)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Excellent communication and presentation skills, both written and verbal
• Organized and outcomes-driven: you can run programs, measure impact, and iterate.

Preferred

• Experience with GenAI and LLMs
• Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray
• Experience with hyperparameter optimization solutions
• Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes
• Familiarity with data pipeline tools

Wondering if you’re a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love collaborating with top AI teams to solve real-world ML and GenAI challenges
• You’re curious about how to optimize AI workflows at scale
• You’re an expert in Python and ML tooling, with a passion for enabling customer success

Why Us?
We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Datadog's Applied AI group is building the AI capabilities that transform how users interact with our platform. Our Natural Language Query (NLQ) and Command-I (Cmd-I) teams are at the forefront of this transformation, enabling users to query telemetry data, investigate production issues, and configure Datadog through natural language and intelligent conversational agents.

As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists building natural language interfaces and conversational AI systems. Your teams will work on challenges spanning LLM-powered query translation, context-aware retrieval systems, agentic architectures, and evaluation frameworks. You will guide technical execution, support team growth, and collaborate across engineering, product, and research to deliver AI experiences that fundamentally change how customers use Datadog.

At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do

• Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces
• Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning
• Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities
• Drive evaluation and iteration practices for AI systems, including building offline and online evaluation pipelines to measure quality and detect drift
• Partner with product managers and cross-functional teams to expand AI capabilities across the Datadog platform
• Navigate the unique challenges of shipping LLM-powered products: balancing accuracy, latency, cost, and safety considerations
• Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning
• Drive day-to-day execution and promote high standards for operational excellence, system reliability, and technical quality
• Participate in hiring and help shape the future team as the organization grows
• Contribute to cross-team collaboration and knowledge sharing across the broader AI organization

Who You Are

• A technical leader with experience in AI, machine learning, or NLP systems
• Proven experience building and shipping LLM-powered products, conversational AI, or natural language interfaces
• A product builder who thinks beyond features, designing systems that generate data, learn from usage, and compound in value over time
• Experience leading and mentoring engineers; ready to grow into broader leadership responsibilities
• Strong technical expertise in one or more areas: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP
• Comfortable working with Product to break down ambiguous problems, foster an experimental culture and iterate quickly on AI systems where quality is probabilistic
• Familiarity with evaluation methodologies for AI systems, both offline benchmarks and online metrics
• A people-focused manager able to develop and support strong engineering talent in a fast-moving domain
• BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one — that's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture with the ability to join Community Guilds (Datadog employee resource groups)
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits
• Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale.

Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:

• Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform
• Set technical vision and strategy for your area in partnership with Product
• Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations
• Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback
• Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities
• Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops
• Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality
• Hire and plan for organizational growth as the AI group scales
• Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization

Who You Are:

• An experienced technical leader with a strong background in AI, machine learning, or data science
• Proven track record building and shipping ML or AI-powered products in production
• Experience leading and mentoring multiple teams, including senior engineers and engineering managers
• Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure
• Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans
• A strong people manager who can attract, develop, and retain top AI and engineering talent
• BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits
• Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation

• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The opportunity

Datadog’s APM Experiences team owns the core product experience for Application Performance Monitoring — including distributed tracing, service representation, and more. We’re building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can:

• Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent
• Proactively recommend performance and reliability-based optimizations to prevent the next incident
• Automatically create intelligent monitors and SLOs for the most important business flows and critical paths

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

What you’ll do

• Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes.
• Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability.
• Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths.
• Integrate with Datadog’s platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI.
• Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences.
• Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems.

Who you are

Product‑minded engineer who ships AI to production

• 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance
• Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails)
• Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Strong ML / applied science fundamentals

• Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals)
• Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions

Distributed systems & observability savvy

• Experience with microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• Proficient in Go, Java, or Python; strong API/service design; production ops (monitoring, alerting, on‑call rotation)

Nice to have

• Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• Familiarity with SLO/SLA practices and incident response

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business.
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
• Competitive global benefits.
• Continuous professional development.
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

AI & Media Insights Analyst - Brooklyn, NY

About the Role

We’re expanding our Insights team with a strategic new hire who will bring technical depth and innovation to our analytics capabilities. As the AI & Media Insights Analyst, you’ll play a key role in enhancing our campaign measurement, scaling insights infrastructure, and applying AI to unlock new value from our data. You’ll collaborate across analytics, marketing ops, and strategy to drive smarter decisions and more impactful storytelling.

Key Responsibilities

• AI-Driven Insights
• Develop and deploy machine learning models to predict campaign performance and customer behavior
• Explore generative AI use cases for audience segmentation, creative testing, and internal tools
• Data Engineering & Automation
• Build and maintain scalable data pipelines to support reporting and modeling
• Partner with senior analysts to automate data workflows and improve data quality
• Support integration of new data sources and platforms into our analytics ecosystem
• Media & Marketing Analytics
• Leverage industry best practices in media measurement and optimization to elevate campaign performance
• Collaborate with marketing operations to enhance tracking and campaign ROI through smarter data integration
• Bridge the gap between media strategy and analytics by translating performance data into clear, strategic recommendations
• Collaboration & Enablement
• Work closely with analysts, marketing ops, and leadership to align analytics with business goals
• Contribute to dashboard development and internal data tools
• Help foster a culture of experimentation and data-driven decision-making

Qualifications

• 3–5 years of experience in data science, analytics, or data engineering
• Strong proficiency in Python, SQL, and cloud platforms (e.g., AWS, Panoply, Stitch)
• Experience with BI tools (e.g., Sisense, Power BI) and marketing analytics platforms
• Familiarity with media measurement, campaign tracking, and marketing ops workflows
• Hands-on experience with machine learning, NLP, or generative AI preferred
• Excellent communication skills and a collaborative mindset

#LI-MB

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

The Role

We’re looking for an experienced and craft-obsessed creative designer to set the bar for Gigs’ next phase of growth. You’ll join us as a foundational member of our Brand Studio and play a pivotal role in bringing Gigs’ brand and web design to new heights. You’ll also have the opportunity to work with some of the world’s most exciting brands and apps, crafting experiences that support their journey with Gigs from first touch to consumer launch.

What You Will Do

• Elevate Gigs’ brand across all channels, formats, and verticals.
• Collaborate directly with a variety of stakeholders to translate big ideas into visually compelling deliverables.
• Iterate on the design foundation and scale the design language of a fast-growing generational scale-up, as part of a small high-impact team.
• Create templates and systems for yourself and the rest of the Design team to deliver at pace without sacrificing quality.

What We Are Looking For

• Technical skills

  • Proficiency in Figma and Adobe Creative Suite (Illustrator, Photoshop, InDesign).
  • Strong motion design skills (e.g. After Effects) and ability to bring assets to life.
  • Nice to have: Experience with 3D software (e.g. Blender) for custom visuals.
  • Nice to have: Experience working with a website CMS and/or email design tools.

  Background

  • Agency or scale-up experience preferred, showcasing resilience and adaptability across diverse fast-moving projects.
  • Proven track record on larger design initiatives (e.g. rebranding campaigns, product launches).
  • Fintech industry familiarity is beneficial; mobile and web UI understanding is a plus.

  Personal qualities

  • Inspired, craft-focused designer who values quality and creativity, and has strong well-reasoned opinions.
  • Strong communicator, skilled at uncovering the real needs behind requests and thinking beyond the brief to deliver excellent creative work.
  • Highly organized and able to manage workload independently, building templates and systems as you go.
  • Curious, adaptable and growth-focused with regard to new tools and workflows.
  • Comfortable iterating quickly, with resilience to feedback cycles.
  • Energized by every project, strong positive growth mindset and curious in the face of challenges.

Salary Range: $170000 - 200000 USD

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:

• Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
• Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
• Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
• Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).

Required Qualifications:

• Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
• Strong programming skills: Python (pandas, NumPy, backtesting).
• Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
• Hands-on experience with prediction market platforms (Polymarket and/or Kalshi APIs) or closely related domains (options, binary events, sports/event betting).
• Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non-negotiable.

Highly Valued (but not strictly required):

• Prior profitable trading experience in prediction markets, options, or event-driven strategies (personal or professional).
• Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
• Experience with low-latency systems, FIX protocol, or Web3 integrations.
• Track record of building and backtesting quantitative models with real historical data.
• Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).

Who We’re Looking For: We are especially interested in exceptionally sharp, self-motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Apply With: 

• Resume
• Cover letter explicitly detailing your genuine interest in prediction markets (specific examples of your engagement: trades you’ve made, resolutions you’ve studied, models you’ve built, protocols you follow, etc.)
• GitHub, personal blog, or portfolio links showing relevant work

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location:  Flexible.  US-based preferred.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1

Mid-level Applied AI Data Scientist (Tableau Focus)

Location: New York, NY (Hybrid – 3 days in-office) | Practice Area: Technology & Engineering | Type: Permanent

Turn data into insight, and insight into impact.

The Role
We are looking for a Data Scientist to join us, working at the intersection of data, machine learning, and business insight. In this role, you will apply statistical and machine learning techniques to real-world problems, helping clients unlock value from complex datasets. You will collaborate with cross-functional teams and contribute to the development of scalable, data-driven solutions.

What You’ll Do

• Apply statistical analysis, clustering, and probabilistic techniques to generate actionable business insights
• Work with structured and semi-structured datasets to identify patterns, trends, and anomalies
• Build and support NLP workflows, including named entity recognition (NER), entity resolution, and text classification
• Develop machine learning models with guidance from senior team members, contributing to evaluation and refinement
• Create Tableau dashboards and visualizations to communicate insights to technical and non-technical stakeholders

What We’re Looking For

• 3–7 years of experience in data science, analytics, or applied machine learning
• Strong foundation in statistics, probability, and core machine learning techniques (e.g., regression, classification, clustering)
• Hands-on experience with Python and libraries such as pandas, NumPy, and scikit-learn
• Experience building Tableau dashboards to clearly communicate data insights
• Ability to collaborate across teams and translate analytical findings into business-relevant outcomes

Bonus Points For

• Experience working with graph-like or network datasets
• Exposure to ML Ops practices such as experiment tracking, model versioning, and monitoring
• Hands-on experience with NLP techniques such as entity extraction or text processing
• Familiarity with cloud-based data or ML platforms
• Experience contributing to rapid prototyping or iterative AI solution development

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits

• Medical, Dental, Vision coverage
• 401(k) with employer match
• Maternity and paternity leave, plus dependent care support
• Tuition reimbursement and wellness reimbursement programs
• HSA, FSA, commuter benefits, and employee discount marketplace access

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-MB1

#LI-HYBRID

This is Engineering at Lattice

At Lattice, we build software that helps people and organizations thrive. Our engineering team values maintainable systems, strong collaboration, and thoughtful product experiences.

As we expand AI-powered capabilities across our platform, security is a core part of how we design, build, and operate our product. Our Product Security team partners closely with engineering to ensure we ship features that are secure by default and resilient in production.

What You Will Do

You will work closely with product and platform engineering teams to improve the security of Lattice’s applications and services.

Product Security & Engineering Partnership

• Partner with engineers to identify, triage, and remediate security issues in product features and services
• Participate in security reviews and threat modeling for new features and systems
• Perform security-focused code reviews and help identify common vulnerabilities
• Contribute to secure-by-default patterns, libraries, and tooling in our TypeScript-based stack

Security Tooling & Operations

• Help implement and operate security tooling (SAST, DAST, dependency scanning, etc.)
• Support vulnerability management workflows, including internal findings and bug bounty reports
• Assist in investigating security issues and assessing risk and impact

Cloud & Platform Security

• Collaborate with platform and infrastructure teams to improve application and cloud security posture
• Contribute to improving security practices in AWS-based environments

AI/LLM Security

• Assist in identifying and mitigating risks in AI/LLM-powered features, including prompt injection, data leakage, and unsafe output handling
• Apply emerging best practices (OWASP Top 10 for LLM Applications) to real product use cases

Security Enablement

• • Contribute to security guidance, documentation, and training for engineering teams
  • Help improve how security is integrated into the development lifecycle

What You Will Bring to the Table

Experience that is important for you to have at some level:

• 1–3+ years of experience in product security, application security, or software engineering
• Experience writing and maintaining code in JavaScript/TypeScript (or similar languages like Python or Ruby)
• Familiarity with common web and API vulnerabilities (e.g., OWASP Top 10)
• Exposure to security testing tools (SAST, DAST, dependency scanning, etc.)
• Experience working in or with cloud environments (AWS or similar)

Technical Approach

• Ability to identify common security risks and suggest practical mitigations
• Understanding of secure coding practices and basic security controls
• Interest in how security decisions impact real-world product systems

Collaboration & Growth

• Strong communication skills and ability to work closely with engineering teams
• Willingness to ask questions, learn quickly, and take ownership of well-scoped problems
• Ability to contribute to team discussions and share security context effectively

Experience that would be nice to have:

• Experience with modern web architectures (Next.js, NestJS, GraphQL)
• Familiarity with containerization or Kubernetes
• Experience or interest in AI/LLM security, including

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

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The estimated annual cash salary for this role is CAD $93,750 - CAD $125,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

#LI-remote

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

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

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 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.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom 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 Children’s House 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 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 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 
• 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 100 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.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

GLG is seeking Associates who are excited to learn and excel at best-in-class client service in a strong performance-driven, merit-based, and team-oriented environment. 

Associates are the engine driving GLG's Insight Network – the world's largest and most varied source of first-hand expertise. The Associate role involves fast-paced communication, working directly as thought partners with leading professionals – think top financial services firms, consultancies, and corporations – to connect them to the insight they need to get ahead. 

Associates should have a natural curiosity, strong critical thinking skills, and a competitive spirit to win for clients. Armed with those qualities, you’ll go through our robust onboarding, apprenticeship, and training programs so that you can grow and hone the skills needed to succeed, including having agency over project delivery, client relationship-building, and expert engagement. In just a few months, you will be owning the project lifecycle, speaking frequently with leading clients and experts – all while receiving continued coaching and mentoring from your team to help you develop top-tier project management and communication skills.      

 Specific responsibilities include (but are not limited to):

• Engaging daily with clients to build relationships, deliver tailored support, and deploy custom solutions that enable our clients to win
• Owning client projects from start to finish – that includes scoping a project, searching for and/or recruiting the right expert(s), and delivering high-quality outcomes to both our clients and our experts
• Collaborating with colleagues, your manager, and internal stakeholders to bring GLG’s full product suite to the table so that we can maximize commercial outcomes, grow revenue, and ensure retention of existing accounts
• ​Upholding GLG’s compliance framework and embracing our company values

As an Associate, you will have the opportunity to:

• Excel in a fast-paced, demanding, and highly collaborative environment with colleagues around the world
• Develop and refine strong, transferable business skills, including client service, communication, negotiation, critical thinking, and project management
• Cultivate account management and commercial skills through direct client relationship building and responsive service
• Become a people manager and lead future Associates once you outperform as an individual contributor

An ideal candidate will have the following:

• Bachelor's degree (required) or higher
• 0-3 years of work experience in client-facing, sales, or account management roles
• Demonstrated critical thinking and creative problem-solving skills
• Excellent communication and interpersonal skills, including comfort with phone-based outreach
• Ability to work independently and collaboratively, in an ever-changing and ​fast-paced environment
• Receptive to close coaching and feedback
• Ability to multitask and prioritize effectively, while ensuring an attention to detail​
• Hustle and tenacity that drives you to go above and beyond to delight clients ​
• Appreciation for data and understanding the numbers​
• Willingness to work flexible and extended hours (including evenings and some holidays) based on client needs and expectations

What We Offer 

While total compensation varies depending upon performance, Associates can earn full year compensation of $90,000+. This is made up of an annual base salary of $75,000 and uncapped variable compensation that’s linked to individual performance.

Benefits: All U.S. GLGers also have access to benefits such as:

• Comprehensive medical, dental and vision coverage effective on your first day of employment
• Flexible paid time off. No pre-determined limits on vacation time, plus 10 company holidays
• 401(k) and Roth 401(k) plans with an employer match (subject to annual limits & vesting)
• Tuition reimbursement program for eligible courses including language skills courses
• Paid parental leave, adoption and surrogacy reimbursement
• Free wellbeing support with the Calm app, Maven and EAP, and free long-term therapy & counselling assistance through Pathways
• Other work perks and benefits available based on final job location

Compensation: GLG is committed to fair and equitable compensation practices. Actual compensation is based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. Certain roles may also be eligible for incentive compensation.

#LI-Onsite

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a large amount of work ahead of us. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe’s financial capabilities. As part of Treasury Finance’s AI and Quantitative Analytics team, you’ll work at the intersection of finance, artificial intelligence, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. 

What you’ll do

Within Treasury Finance AI and Quantitative Analytics, you’ll leverage your finance, artificial intelligence (AI) and technical expertise to  build intelligent solutions that enhance Stripe’s treasury capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

You will:

• Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can solve complex liquidity, financial risk management, and capital markets challenges
• Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
• Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes
• Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time insights and actionable intelligence
• Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows 
• Explore and prototype cutting-edge AI applications to address emerging treasury challenges

Who you are

We’re looking for a technical problem-solver with treasury and finance expertise who’s excited about leveraging artificial intelligence and who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Bachelor’s degree in finance, mathematics, computer science, engineering or a related field with 5+ years of work experience in software development, data science, or treasury/finance roles 
• Working familiarity with financial risk and capital markets concepts
• Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
• Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
• Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
• Results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication skills for collaborating with product, engineering, and finance teams
• Highly organized, with attention to detail and the ability to manage tight deadlines

Nice to have

• • Familiarity with the payments industry and fintech landscape
  • Experience with Databricks and cloud platforms (AWS, GCP, Azure) 
  • Software engineering experience in Ruby

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

What you’ll do

Responsibilities

• Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
• Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
• Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
• Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
• Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
• Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
• Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
• Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
• A self-starter with a bias for action: you are proactive and take ownership to move matters forward
• A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
• A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
• Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
• Passionate about technology and able to understand complex business models and product use cases quickly
• A team player willing to do what it takes to contribute to collective success
• Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
• 6+ years of relevant experience in-house or in a technology practice group at a top law firm

Preferred qualifications

• Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
• Experience in payments or fintech and familiarity with related regulatory frameworks
• Working knowledge of LLM tools and experience in improving legal processes with AI technology
• Prior in-house experience advising high-growth technology companies
• Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA

Location: New York “Grand Central” or Austin “Domain North Side”(In-office 4x per week)

Company: Kizen, www.kizen.com

About Us

Kizen’s Platform, AI Agents & True Context Technology (TCT) power millions of mission-critical experiences for leading organizations in highly regulated industries (insurance, healthcare, financial services).

Our platform helps organizations automate the workflows that matter most — from helping insurance agents manage contracting and commissions, to enabling healthcare providers to deliver proactive patient care, to empowering financial institutions to classify documents and extract data automatically.

And that’s just the beginning. With Kizen, developers can build new enterprise applications and impactful AI agents, while business users can customize dashboards and agents using natural language, low-code, or code — all on the same platform.

What used to take months or years to build, configure, and connect now takes just days. Kizen combines powerful pre-built agents and use cases with an enterprise platform for automation and data connection — all built on an AI-first architecture that’s easy to adopt, scale, and trust.

We’re solving real operational problems and helping the world’s most complex organizations work faster, smarter, and more humanely.

Join us in transforming how industries work — one workflow, one agent, and one customer success story at a time.

About the Role

We are looking for a hands-on Program Manager with a history of leading SaaS and consulting engagements, managing multiple concurrent projects, and delivering data-driven solutions that improve client operations and drive measurable business results as we bring our next-gen platform to the world.

This is an opportunity of a lifetime for someone who wants to be at the heart of the AI movement to better humanity. As the Program Manager you’ll be working directly with our VP, Consulting to drive execution excellence across a portfolio of client engagements, ensuring alignment with strategic objectives, and delivering measurable business outcomes 

In this dynamic role, you’ll lead our teams responsible for: 

1. Program & Portfolio Management - Lead and manage a portfolio of concurrent insurance-focused projects (e.g., CRM implementations, data integrations, commission systems, agent portals)
2. Client & Stakeholder Management - Act as the primary escalation point for client stakeholders across all assigned projects
3. Cross-Functional Leadership - Coordinate across Solution Architecture, Implementation, Product, and Support teams to ensure cohesive delivery

Key Responsibilities

Program & Portfolio Management

Lead and manage a portfolio of concurrent insurance-focused projects (e.g., CRM implementations, data integrations, contracting & commission systems, agent portals)Establish and maintain program-level governance, including status reporting, risk management, and executive communication

• Ensure alignment of all projects to client business goals, timelines, and contractual commitments (SOWs, SLAs)
  

Project Oversight & Execution

• Oversee day-to-day execution across multiple project teams, ensuring milestones, deliverables, and budgets are met
• Standardize delivery frameworks, methodologies, and best practices across engagements
• Monitor project health through KPIs, proactively identifying and mitigating risks and issues

Client & Stakeholder Management

• Act as the primary escalation point for client stakeholders across all assigned projects
• Build strong relationships with executive sponsors, business leaders, and operational teams
• Facilitate regular program reviews, steering committees, and executive updates

Cross-Functional Leadership

• Coordinate across Solution Architecture, Implementation, Product, and Support teams to ensure cohesive delivery
• Drive alignment between technical and business teams, translating requirements into actionable plans
• Support resource planning and capacity management across projects
  

Financial & Commercial Oversight

• Manage program-level financials including budgets, forecasts, and margin performance
• Ensure adherence to contractual terms, including scope management and change orders
• Identify opportunities for expansion, upsell, and additional consulting services
  

Requirements

• 10+ years of experience in Program or Project Management within SaaS, consulting, or insurance industries
• Proven experience managing multiple concurrent projects or large-scale programs
• Experience delivering SaaS implementations, CRM platforms, or data-driven solutions
• Demonstrated experience managing relationships with executive stakeholders (C-level, VP, and Director levels), including leading executive briefings and steering committees
• Strong financial acumen, including budgeting, forecasting, and margin management
• Exceptional verbal and written communication skills, with the ability to clearly articulate complex concepts to both technical and non-technical audiences
• Experience translating business objectives into actionable program plans and measurable outcomes
• Ability to synthesize large amounts of information into concise, actionable insights for leadership consumption
• High emotional intelligence (EQ) with the ability to navigate complex client dynamics and build trust quickly

Preferred Qualifications

• PMP, PMI-RMP, or equivalent certification preferred
• Experience with insurance distribution models (IMO, FMO, MGA environments)
• Familiarity with data integration, APIs, and analytics platforms
• Experience working in high-growth SaaS or consulting organizations
• Strong understanding of insurance operations (e.g., contracting, commissions, agent lifecycle, policy data)

Why Kizen

We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement.

What We Offer

• Career Growth Opportunities
• Engaging Work Culture
• Top-Tier Compensation
• Equity Package
• Healthcare Coverage
• Health and Fitness Stipend
• Professional Development Stipends
• PTO 

Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. 

The base salary range for this position is [$190,000-$225,000]. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages.

If you’re excited about creating impactful experiences and contributing to a fast-paced, people-focused team, we’d love to meet you!

OTE - $220,000-$275,000  

About The Role

As Fora expands globally, we’re hiring an International Sales Operations Manager to build and own the systems that power advisor acquisition across international markets. This is a high-ownership, infrastructure-focused role at the intersection of sales strategy, analytics, and operations.

Reporting to the Head of International and partnering closely with Sales and cross-functional teams, this person will shape the international sales infrastructure, enabling scalable advisor growth outside the U.S. The role combines strategic thinking with hands-on execution, including direct engagement with prospective advisors and full ownership of the international sales funnel.

Key Responsibilities

International Ops & Localization

• Design and localize the international acquisition journey, building scalable workflows and sales sequences tailored to each region’s norms and channels.
• Build and integrate new international lead-facing tools and communication channels such as WhatsApp for Business, WeChat, and Intercom.
• Identify opportunities to streamline processes, reduce manual work, and improve the advisor lead experience.

Funnel Ownership

• Own the end-to-end international advisor sales funnel in the CRM, from lead sourcing and scoring through conversion and handoff.
• Build and continuously improve inbound and outbound sales strategies to drive high-quality international pipeline.
• Create and maintain sales playbooks, outreach sequences, objection-handling guides, and scripts tailored to international markets.
• Establish funnel reporting and analytics by tracking conversion rates at each stage, identifying drop-off points, and implementing data-driven improvements.
• Host sales calls, onboarding webinars, and informational sessions for prospective advisors.

AI & Tech Enablement

• Use AI tools to improve sales efficiency, including lead qualification, follow-ups, and internal workflows.
• Build or contribute to playbooks, scripts, and automation that increase productivity across international operations.
• Partner with internal teams to test and deploy AI-driven solutions that support advisor growth at scale.

Cross-Functional Collaboration & Team Management

• Work closely with Sales, Marketing, and Product Operations to implement company-wide initiatives, experiments, and improvements.
• Act as a voice of the international advisor, sharing insights to inform product and operational decisions.
• Onboard and manage remote team members.

Requirements

• 3–5+ years of experience in a revenue operations or go-to-market role with direct exposure to sales processes
• Proven experience building or improving sales processes and workflows with measurable impact on funnel performance
• Strong organizational skills with the ability to manage complex systems and multiple workflows simultaneously
• Fluency in English and at least one additional language
• Experience working with CRM platforms such as HubSpot or Salesforce
• Comfort operating in a fast-paced, evolving environment with a high degree of ownership and ambiguity
• Strong communication skills and ability to engage effectively with prospective customers and internal stakeholders

Strongly Preferred

• Experience supporting or selling into international markets across regions such as LATAM, APAC, Europe, or the Middle East
• Experience designing localized sales motions or adapting go-to-market strategies by region
• Familiarity with international communication tools and channels such as WhatsApp, WeChat, or similar platforms
• Experience using AI tools to enhance sales workflows, automation, or productivity
• Background in a startup or high-growth environment with exposure to systems-building or operational scaling

Compensation

Compensation for this role varies based on experience, with an indicative range of $90K–$130K + equity. Final compensation will depend on the level at which the candidate is hired, as we’re considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in our beautiful New York City office (Tribeca/Fidi) with lots of natural light and great views. 

About the Role: 

AlphaSense is seeking a highly analytical, entrepreneurial Data Analyst, Product Strategy & AI to serve as the analytical engine for our Product Management team and own our most important product analytics questions.

Our foundational data engineering and reporting are expertly managed by our technical team in India. We are hiring this NYC-based role to be the "connective tissue" between our raw data and our strategic product decisions. You will not be spending your days building traditional dashboards; instead, your mission is twofold:

1. Deep Strategic Analysis: Tackle our most complex product questions (e.g., understanding the true impact of our GenAI features on WAU/DAU retention and user habit formation).

2. AI-Native Data Democratization: Architect the infrastructure that allows our PMs to query our BigQuery database using natural language. You will be the tip of the spear in transitioning our product analytics model from a "request-and-wait" dashboard culture to a real-time, AI-empowered ecosystem.

Who You Are:

• Deep Product & Business Intuition: Demonstrated ability to understand product strategy and key metrics
• Experience: 8+ years of experience working in Product Analytics, Data Analytics, or equivalent roles
• Communication & Influence: Exceptional written and verbal communication skills, with a proven track record of presenting complex data insights clearly and persuasively to both technical and non-technical stakeholders. Proven ability to build strong working relationships and influence decision-making across cross-functional teams, particularly with Product Management.
• The "Stats-First" Mindset: As AI makes querying easier, knowing which statistical tests to apply and how to interpret the noise is your superpower.
• Technical Fluency (SQL & AI): Expert-level SQL is a must. You don't need to be a core software engineer, but you must be comfortable using Python and working with APIs, LLMs, and agentic frameworks.
• Curiosity & Adaptability: The AI tooling landscape changes rapidly. You are the kind of person who actively explores new frameworks, and experiments with how to apply them to business problems.
• Collaborative Leadership: Ability to work seamlessly with a highly technical remote data team (India) while acting as the strategic face of data for the product leadership team (NYC).
• Location & Alignment: Ability to effectively collaborate and interact in real-time with Product teams primarily based in NYC, while also being able to work effectively with a team in India.

What You’ll Do: 

• Be the Strategic Co-Pilot for PMs: Co-locate with the Product team to understand the business deeply. Proactively look across all product features to identify trends, drop-offs, and opportunities that go beyond feature-by-feature reporting. Lead the effort to translate complex data analysis into clear, concise, and compelling narratives that drive key business decisions and product feature development decisions. 

• Deep-Dive Analysis: Conduct and oversee comprehensive, complex analyses of product usage and adoption. Go beyond surface-level metrics to identify root causes for trends.

• Project Oversight: Act as a thought partner to Product leadership, proactively identifying opportunities and risks through data analysis. Collaborate closely with Product Managers to define key performance indicators (KPIs), establish success metrics for new features, and provide ongoing, proactive insights into product performance.

• Solve High-Stakes Business Questions: Use advanced statistical methods (e.g., cohort analysis, propensity matching, causal inference, etc.) to answer critical executive and investor questions—such as whether new product capabilities are actually inflecting long-term user retention.

• Build the AI-to-Data Bridge: Wire up our BigQuery data warehouse to modern LLMs using standard protocols (like Model Context Protocol / MCP) or native cloud AI tooling.

• Design the Semantic Layer: Partner with our Data Engineering team in India to ensure our data schemas are "AI-ready" (e.g., clean, well-aliased, and structured)

Why Join Us?

You will be the founding member of our next-generation analytics workflow, with the autonomy to define how a modern Product team interacts with data.

About the Role

As a Senior Customer Success Manager (Sr. CSM) at AlphaSense, you will be the strategic lead for our most complex and high-value accounts within the Financial Services sector. You are responsible for navigating multi-million dollar global organizations and driving long-term ROI through technical group/individual training while ensuring company-wide adoption across multiple business units. You will manage a concentrated portfolio of strategic accounts, remaining at the forefront of product and Financial Services expertise, while scaling your impact across the organization through account strategy, leadership and innovation.

What You’ll Do

• Strategic Account Influence: Navigate and influence multiple business units and key power users across the world largest and most complex global organizations. Create a groundswell of positive user sentiment to drive renewals and expansion with Senior Leadership.
• Architect Deep Adoption & Value Realization: Synthesize complex usage into actionable insights. Design multi-quarter adoption roadmaps in tandem with your Account Management peers that align AlphaSense capabilities with business objectives.
• Onboarding & Ongoing Training: As an expert on the product, you will guide new clients through onboarding, training, and best-practice adoption to ensure a strong foundation, both virtually and in person.
• Technical & Domain Mastery: Independently lead sophisticated technical conversations regarding Managed Content Providers (MCP), APIs, and Large Language Models (LLMs) with technical stakeholders and platform owners.
• Executive Presence & Communication: Command virtual and in-person rooms with executive presence, and leverage powerful, strategic follow-ups as a tool to drive adoption and link AlphaSense to specific Senior Leader business objectives.
• Solo On-Site Leadership: Fully own high-stakes, multi-day on-site engagements and lead customer "Lunch & Learns,’’ tailoring presentations to diverse user groups and core personas using our WWH (Why, What, How) framework.
• Company Innovation: engage in cross-functional initiatives outside the standard CSM scope, such as product feedback loops, hiring committees, mentorship programs and process innovation to improve team efficiency.

Who You Are

• 3 - 5+ years of professional experience in Customer Success, Account Management or Financial Services with a proven track record of managing a strategic portfolio.
• Recognized as an "FS Expert" with domain knowledge of investment banks, hedge funds, asset management, and other financial institutions.
• Possess the technical acumen to navigate complex conversations around data integrations, APIs, and AI-driven market intelligence solutions.
• Ability to identify the 5% of users who drive the majority of sentiment and influence within an account, focusing on high-level business outcomes over basic feature adoption.
• Excellent communication skills with a demonstrable track record for collaborating internally in a cross-functional environment and onsite with customers. 
• A natural leader who thrives in fast-paced environments and is committed to contributing to the "AlphaSense Playbook" through mentorship and internal innovation.

About the Team + Role

Cortex is Robinhood's consumer-facing AI — designed to be the intelligent layer across your entire financial life. Today, Cortex helps millions of customers research investments, analyze their portfolios, and hone their trades through natural conversation. Tomorrow, it will deliver holistic financial planning and personalized advice, becoming the always-on financial partner that every customer deserves but few have ever had access to.

We're looking for a Staff Product Manager to own and drive Cortex forward. You'll lead the evolution from a powerful research assistant to an AI that can reason, plan, and act on behalf of customers — across investing, spending, saving, and beyond. This role demands equal parts technical depth and consumer intuition: you'll shape the AI architecture alongside engineering leaders while obsessing over the experiences that make customers trust and rely on Cortex every day.

This role is based in our Menlo Park, CA or New York City, NY office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What You'll Do

• Own the Cortex product roadmap end-to-end — from improving the core conversational experience today to defining the path toward AI-powered financial planning and advice
• Drive the technical direction alongside engineering leads — making high-conviction decisions on AI architecture, model strategy, and system design that keep Cortex at the frontier of what's possible
• Build and evolve evaluation frameworks at scale — establish the automated quality, accuracy, and safety measurement systems that let the team ship with confidence and improve continuously
• Ship consumer experiences that drive adoption and retention — find the moments where AI creates real value in customers' financial lives and deliver them with craft and speed
• Navigate the regulatory landscape — partner with Legal & Compliance to responsibly expand what Cortex can do, from neutral research toward personalized financial guidance
• Lead cross-functional execution across engineering, design, data science, compliance, and operations — turning ambiguity into shipped product

What You Bring

• Bachelor's degree, Master's, or equivalent experience
• 7+ years of consumer-facing product management, with 3+ years on AI/ML-powered products
• AI Architecture & Technical Strategy — Deep fluency in LLM architectures, agentic systems, and retrieval-augmented generation; able to hold strong, informed opinions on build-vs-buy decisions, model selection, and system design alongside engineering leaders
• Industry Pace-Setting — Track record of translating rapid advances in AI research and tooling into product roadmap decisions, ensuring the product stays at or ahead of the frontier rather than reacting to it
• Evaluation & Continuous Improvement — Experience building and evolving evaluation frameworks that measure AI quality, accuracy, and safety at scale; able to establish systematic feedback loops and quality bars that enable the team to ship with confidence and improve continuously
• Consumer-Obsessed AI Product Craft — Ability to identify high-impact, user-facing improvements across a full AI product experience and ship them iteratively, turning a complex AI system into an intuitive financial companion customers trust and rely on daily
• Strong sense of urgency, high ownership, and comfort operating in ambiguity across a fast-moving technical and regulatory landscape
• Experience shipping AI products in financial services or other regulated industries
• Familiarity with LLM evaluation and observability tooling
• Experience with agentic AI systems in production
• Background in financial advice, portfolio management, or wealth-tech products

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

As an Enterprise Specialist on the Product Support team, you'll have the exciting opportunity to partner with the Enterprise Support Manager to help define and elevate our Enterprise Support function. This team will be responsible for crafting what exceptional support looks like for Figma's top customers. You will be delivering the kind of experiences that build trust throughout the Figma community, from customers to key internal partners, such as Sales, Product, and Engineering.

We're looking for a technical support expert experienced in working with enterprise-level customers with an ability to understand and help with their unique needs. You will diagnose issues, determine solutions, and anticipate customer impact, serving as a customer advocate while working cross functionally to deliver an exceptional experience.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

• Develop expertise of Figma's products and the journey of our customers, from Product Designers to Account Administrators, to accurately diagnose sophisticated inquiries
• Interact with Figma customers daily via email, taking ownership over cases from start to resolution
• Partner closely with Sales teams to guide large scale organizations through complex workspace configurations, acting quickly to address technical issues and ensuring successful account setup
• Operate as the voice of the customer, capturing both product and process gaps in the experience and presenting data-backed cases for new feature development and process automation
• Act as designated point of contact for high-risk escalations and issues, proactively engaging the appropriate partners, and owning communication through to solution
• Identify trends and communicate insights to our Product and Engineering teams to advocate for bug fixes, process improvements, and feature enhancements
• Engage in pilot programs and experimentation to identify efficient approaches for delivering fast and personalized interactions to meet performance expectations and customer commitments
• Recommend foundational tooling and processes in partnership with our Product Support Operations teams to ensure we are set up to scale

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.  You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

What you’ll do:

• Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
• Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
• Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
• Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
• Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Write clean, efficient, and sustainable code
• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

What we’re looking for:

• This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs. 
• Ability to legally work full time (40 hours/week) from September-December 2026
• Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
• Proficiency with AI-native engineering, including the design of agent-friendly codebases.
• High degree of autonomy in learning new agent-first development tools.
• Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

• • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
  • Strong passion for research and for answering hard questions with research
  • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

• Meaningful Work: Contribute to projects that impact millions of users worldwide.
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

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#LI-EB1

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems.  You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

What you’ll do:

• Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
• Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
• Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
• Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
• Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Write clean, efficient, and sustainable code
• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

What we’re looking for:

• This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs. 
• Ability to legally work full time (40 hours/week) from September-December 2026
• Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
• Proficiency with AI-native engineering, including the design of agent-friendly codebases.
• High degree of autonomy in learning new agent-first development tools.
• Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

• • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
  • Strong passion for research and for answering hard questions with research
  • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

• Meaningful Work: Contribute to projects that impact millions of users worldwide.
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $11,00 monthly.

#LI-HYBRID
#LI-EB1

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

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

• You’ll be responsible for client success, partnering with the Customer Success Team to own the technical relationship for your assigned accounts and help drive technical adoption, accelerated technical value, and continued technical maturity
• Help customers successfully instrument Braze across their stack and refine that instrumentation over time as their use of Braze matures and becomes even more valuable, which in turn contributes to renewals and upsells
• Facilitate conversations regarding the customers’ desired use case, conducting discovery, and recommending solutions based on their unique needs and architecture
• Support and advocate for day-to-day inquiries and requests to support optimization and value through the customer lifecycle
• Empower customer product and engineering teams to use our product as independently and efficiently as possible, communicating with customers and internal teams to explain products and solutions by delivering enablement and education
• Adopt governance practices such as creating solutions documentation and building architectural diagrams, and drive progress against key technical work streams through project management
• Instill best practice and engineering excellence amongst your customer portfolio by validating product use cases and technical feasibility for product launch and translating the customers’ unique requirements to Braze’s Product team

• 3-5 years client-facing experience as a TAM or in a related technical area such in Implementation, Technical Support, or Solutions Architecture, for a product offering serving Enterprise/Strategic accounts
• 3+ years of technical experience in managing complex customer environments with strong product command and technical knowledge of two or more of the following: SaaS, Mobile, API, or Programming
• You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
• You are a natural problem solver with a high level of intellectual curiosity and love working amongst a team to solve those problems
• You are able to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, and collaborative environment
• You may have bilingual skills beyond English that facilitate us talking with our global customer base in their native language. Please note that this is not a requirement for the role but something that we welcome in our team

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.

Come Work With Us:

Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.

Position Summary:

Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions & Responsibilities 

Production Architecture & AIOps

• Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
• Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
• Design and maintain scalable software applications with integrated AI/ML capabilities.
• Develop software architecture and design patterns to ensure performance and scalability.
• Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
• Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
• Integrate AI/ML models into production environments and optimize for reliability and scalability.
• Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay current with advancements in software engineering and AI/ML technologies.
• Adhere to agile and lean software development best practices.
• Thoroughly document all developed models and processes according to relevant policies and standards.
• Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.

Cross-Functional Collaboration

• Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
• Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.

Scaling & Performance

• Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
• Optimize model serving using techniques like model compression, caching, and hardware acceleration.

Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).

Qualifications & Skills:

• 6+ years of experience
• Master’s or PhD in a relevant field (Computer Science, Software Engineering,  Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
• LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
• MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
• Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
• Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
• Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
• Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
• Strong understanding of AI/ML algorithms, application architecture, and design patterns.
• Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications & Skills

• Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
• Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
• Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
• Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
• Ability to work in a constantly evolving environment.
• Excellent written and verbal communication skills.
• Strong listening and teaching abilities.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Quick learner of new technologies.
• Self-directed with strong technology and communication skills.
• Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
• Collaborative team player with a practical and creative approach in a dynamic work environment.
• Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.

Potential Salary: $130,000 - $200,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Product Manager to focus on emerging opportunities and technologies within sportsbook – researching, prototyping, and experimenting on complex topics such as AI, NLP, social betting, and loyalty. If you’re a strong product leader with an interest in playing a critical role on projects with the potential to disrupt the sports betting industry and create long-term competitive advantage for FanDuel, this may be the role for you. 

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Inform, shape, and drive execution of market-leading product initiatives, owning complex problem spaces end-to-end 

• Propose, prioritize, and articulate sophisticated product feature sets, identifying user problems and untapped strategic opportunities while influencing broader business context 

• Define clear product success criteria tied to customer and commercial outcomes; use experimentation and A/B testing to drive measurable impact and inform iteration 

• Establish outcome-led practices, bringing the voice of the customer into the delivery process 

• Assess product opportunities and lead ideation and prioritization for new iterations and net-new products 

• Collaborate with engineering, design, marketing, data, and operational functions to deliver successful launches and post-release optimization 

• Communicate product strategy, outcomes, tradeoffs, and learnings clearly to stakeholders at multiple levels 

• Lead collaborative workshops and cross-functional sessions, translating ambiguity into aligned action plans 

• Demonstrate innovative thinking, identifying new product opportunities through experimentation, research, competitive analysis, and customer feedback 

• Maintain deep domain expertise on the product, market, and competitive landscape 

• Partner with commercial and engineering leaders to drive Sportsbook OKRs tied to customer value and revenue impact 

THE STATS
What we're looking for in our next teammate

• Bachelor’s degree preferred 

• 5+ years of product management experience, ideally owning search, discovery, marketplace, AI-powered, or other high-scale consumer experiences 

• Demonstrated fluency in modern AI tools to enhance product management effectiveness, including research synthesis, PRD drafting, experimentation design, data analysis, and insight generation 

• Proven track record of driving measurable improvements in engagement, conversion, and/or customer value through experimentation 

• Strong analytical skills; comfortable defining metrics, running experiments, and interpreting large datasets 

• Experience in high-scale consumer products or marketplaces strongly preferred 

• Strong collaborator who can align cross-functional stakeholders around a shared product vision 

• Exceptional written and verbal communication skills 

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

The applicable salary range for this position is $112,000 - $154,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid