NLP Jobs in New York State.

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Tech Lead/Manager, Machine Learning Research Scientist- LLM Evals

Scale AI · San Francisco, CA; Seattle, WA; New York, NY

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Research San Francisco, CA Posted May 8, 2026

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.

You will:

Lead a team of highly effective research scientists and research engineers on LLM evals.
Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
Remain deeply involved in the research community, both understanding trends, and setting them
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience supporting and leading a team of research scientists and research engineers
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$264,800—$331,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Senior Machine Learning Engineer - Model Evaluations, Public Sector

Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC

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Public Sector Engineering Washington, DC Posted May 8, 2026

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.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$240,450—$300,300 USD

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:

$216,300—$269,850 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Staff Machine Learning Research Scientist, LLM Evals

Scale AI · San Francisco, CA; Seattle, WA; New York, NY

Apply now

Research San Francisco, CA Posted May 8, 2026

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.

You will:

Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience tech leading a team of research scientists and research engineers
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$264,800—$331,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Ready to apply?

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Machine Learning Research Scientist, Reasoning

Scale AI · San Francisco, CA; Seattle, WA; New York, NY

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Research San Francisco, CA Posted May 8, 2026

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Ideally, you’d have:

Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
Strong written and verbal communication skills, along with the ability to work effectively across teams.

Nice to have:

Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
Proficiency in cloud-based ML development, with experience in AWS or GCP environments.

Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$252,000—$315,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Deep Research Agent Tech Lead

Scale AI · San Francisco, CA; New York, NY

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Enterprise Engineering New York, NY San Francisco, CA Posted May 8, 2026

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
Core Agent Capabilities Development:

Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.

Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
Deep expertise in Generative AI and Large Language Models (LLMs).
Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
Experience with vector databases and advanced retrieval techniques.
A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
Experience driving cross-team technical initiatives that have delivered significant business impact.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$264,800—$331,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Ready to apply?

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Advanced Data Analytics Lead

Inizio Ignite | Putnam · New York, New York

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Consulting Ignite | Putnam Posted May 8, 2026

Position Summary

Come join a growth engine as a leader in our Data & AI Practice! Inizio Advisory & Putnam Associates continue to advance our Commercial Life Sciences Data, Analytics and AI Team and Solutions. We are looking for an experienced innovator and senior leader to join Data Strategy, Analytics and AI Practice.

The Advanced Data Analytics Lead role within the Data Strategy, Analytics and AI team will be responsible for advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI. The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.

This leadership role is responsible for independently driving client and business development at the company. They must effectively identify potential client engagements, qualify leads and drive the business development process. They will write and submit project proposals, develop and deliver capability presentations, and respond to prospective client needs. They are responsible for developing intellectual thought leadership for the company and for developing and enhancing practice areas within the firm.

They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of Data Strategy/Analytics/AI projects, managing a global team of data scientists and business analysts to support and deliver client projects.

In addition to Putnam growth, this is a broader opportunity to support growth within the Inizio Advisory companies to collaborate and work with other teams, as the Data Analytics & Strategy practice evolves to support the industry and our clients’ needs.

Holistic view of responsibilities and measurements of success:

Extensive project work planning and client interaction and management.

Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions

Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation

Proposal development and revenue generation

Participation in industry thought leadership

Establish clearer resourcing method and process for the team for scale

Support the evolution of our hiring strategy for team based on expected future client work (e.g. growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly.

Desired Skills & Experience

Experience in Life Sciences data analytics (minimum of 10 years) and consulting

Working knowledge of pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data

Experience in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)

Experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)

Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)

A GenAI pioneer, with experience of LLMs in Pharma (e.g. generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnam

Extensive experience in project work planning and client management. (insert min years needed)

A successful history of people and team management through mentorship, knowledge sharing, and leadership.

Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation

Proposal development

Participation in industry thought leadership

Compensation & Benefits

Industry competitive total rewards programs [salary and bonus packages]

Exceptional senior partner mentorship, leadership training and career development support

Industry competitive benefits [paid time off, 401k, health insurance]

Hybrid working model - this role can be based out of our NYC office or Boston office

Company Description

Inizio Ignite, Putnam

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Putnam strategy consulting team bridges science and strategy to enable confident decision-making and build value for pharma. We partner with leading health and life science companies serving brand & commercial leaders, Medical Affairs, access & pricing, and R&D.  Our expertise spans offerings including therapeutic area strategy, data & AI strategy, go-to-market strategy, commercialization & growth, value, pricing & access (VPA) strategy, and evidence generation. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.

We believe that to create real, lasting change on human health, we must bring out the best in our people, in every way and at every level. We offer a boutique-firm feel inside a global enterprise, opening the door to limitless opportunities to kickstart your career or hone your expertise. Built on the pillars of empowerment, collaboration, and meaning, we’re proud to offer a fulfilling environment where world-class advisors can come together to shape the future of healthcare for the better.

Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.

Diversity, equity, and inclusion are tenets of our core values. We strive to create a culture and environment that fosters belonging and authenticity across all levels and values individuals for their skills, experience, diverse backgrounds, and unique perspectives. Collectively, DEI serves as a foundational element of who we are and how we work with our clients and with each other.

Our core values:

Team
Excellence
Strategic
Passion
Diversity

This is an Equal Employment Opportunity

Please note that Putnam Associates is in no way affiliated with Putnam Investments and that this is not a finance opportunity.

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

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ZE

Staff Full Stack Engineer, Vertical Applications

Zeta Global · New York, NY

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Engineering San Francisco, CA Posted May 8, 2026

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel.

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact.

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality.

What You’ll Do

Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it.

Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time.

Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift).

Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start.

Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high.

Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain.

Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences.

What We’re Looking For

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document.

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft.

Nice to Have

MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms).

Domain knowledge in Healthcare, Political, or Retail verticals.

Tech Stack

Backend	Python, Java, Ruby, Node.js
Frontend	React, TypeScript, Ant Design System, Playwright
APIs	REST, Thrift
Infrastructure	AWS, Kubernetes (EKS), EC2, S3, API Gateway, SQS, Kafka, GitLab, Grafana, Loki, Honeycomb, Statsig Feature Flags
Data	MySQL, Redis, Snowflake, Aerospike, DynamoDB, ScyllaDB
AI Tooling	Cursor, Claude Code, Gemini, Codex, AI Skills, MCP, Agentic Teams
Practices	CI/CD, Spec driven development, TDD, Agile, You Build It You Run It

Why You’ll Love It Here

Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored.

AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future.

Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it.

Collaborative, low-ego team that genuinely enjoys working together and learning from each other.
Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits.

BENEFITS & PERKS

Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity
Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/

ZETA IN THE NEWS!

#LI-YW1

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Staff GenAI Research Scientist - Retrieval

Databricks · New York City, New York

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Engineering - Pipeline San Francisco, California Posted May 8, 2026

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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$270,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Specialist Solutions Architect - AI/ML

Databricks · United States

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Field Engineering New York City, New York Posted May 8, 2026

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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$180,000—$247,500 USD

Zone 2 Pay Range

$180,000—$247,500 USD

Zone 3 Pay Range

$180,000—$247,500 USD

Zone 4 Pay Range

$180,000—$247,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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People Partner

Karbon · New York City, NY, United States

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People United States Posted May 7, 2026

About Karbon

Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List.

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 we hire across various locations within the USA we are required by law to include a reasonable estimate of the compensation range for this role.

The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are!

The estimated base salary range for this role is:

$110,000—$120,000 USD

Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role!

We recruit and reward people based on capability and performance. We don’t discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization.

Generally, if you are a good person, we want to talk to you. 😛

If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at people.support@karbonhq.com for a confidential discussion.

At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

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NLP Research Intern

Talkspace Corporate · New York, NY (Remote)

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Early Career and Internship Program Talkspace Posted May 7, 2026

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.

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Machine Learning Scientist

The New York Times · New York, NY

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Data Science New York, NY Posted May 7, 2026

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

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

The annual base pay range for this role is between:

$121,000—$131,000 USD

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For information about The New York Times' privacy practices for job applicants click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

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Quantitative Developer

AXQ Capital · New York

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Technology New York Posted May 7, 2026

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

Preferred Qualifications

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)

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Senior Data Scientist

Octus · New York, New York, United States

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Product & Technology New York Posted May 7, 2026

Octus

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.
For more information, visit: https://octus.com/

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.

Role

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.

Equal Employment Opportunity

Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.

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AI Governance Team, Responsible AI/ML Data Scientist

Accordion · Atlanta; Chicago; Dallas; Los Angeles; New York; San Francisco

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Global Ops Chicago New York San Francisco Posted May 6, 2026

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

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Director, Formulation Sales – East Coast

Debut Biotech · New York City, NY

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Debut Debut Posted May 6, 2026

About Debut

Debut is the unconventional innovation lab spearheading the next generation of big business. Only Debut has a scalable, integrated, climate-positive creation model powered by biotechnology that puts human wellbeing at the center of everything we do—setting the new standard for profitable business and a new pace for an ever-changing world. Our hybrid biotechnology approaches unlock latent markets, providing access to sustainably produced, natural ingredients with health benefits that cannot be obtained through other methods. We are committed to traversing the entire process, from ingredient discovery to the scaling of these products, for consumer markets. If you are passionate, enjoy fast-paced innovation and collaborative teams, then Debut is for you. 

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.

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Customer Success Manager II

Diligent Corporation · Vancouver, British Columbia, Canada; Washington, District of Columbia, United States

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Customer Success New York Washington D.C. Vancouver Posted May 6, 2026

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.

U.S pay range

$75,040—$93,800 USD

Pay Range

$75,040—$93,800 CAD

About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

_{We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.}

_{To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.}

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Sr. Product Manager, New Content Initiatives and Strategy

AlphaSense · New York, New York, United States; Remote - United States

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Content New York Posted May 6, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

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.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$156,000—$200,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

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Staff Product Manager, Insights

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA

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Technology San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY US - Remote Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

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).”

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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Senior Systems Engineer, OS Automation

CoreWeave · Livingston, NJ / New York City, NY/ Sunnyvale, CA/ Bellevue, WA

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Technology Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

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 We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

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Senior Developer Relations Engineer - Marimo

CoreWeave · San Francisco, CA

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Technology San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY United States Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

[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 We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

View all jobs →

AI Solutions Engineer, Post Sales Scale - W&B

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / Philadelphia, PA

Apply now

Global Field Organization San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Philadelphia, PA Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

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

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.
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.
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).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

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Staff AI/ML Engineer

Sigma Computing · New York City, NY

Apply now

Engineering San Francisco Posted May 5, 2026

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.

What You’ll Do

Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What You Bring

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
10+ years of experience building and deploying production-grade AI/ML systems
Deep knowledge of machine learning, deep learning, and applied AI
Experience across the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)

You've built agents that can plan, reason, and use tools
You know your way around cloud infrastructure (AWS, GCP, Azure)
You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $240k - $270k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

Benefits For Our Full-Time Employees:

Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Ready to apply?

Apply to Sigma Computing

Sigma Computing

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Senior AI/ML Engineer

Sigma Computing · New York City, NY

Apply now

Engineering San Francisco Posted May 5, 2026

About the Role

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.

That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.

What You’ll Do

Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What You Bring

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
10+ years of experience building and deploying production-grade AI/ML systems
Deep knowledge of machine learning, deep learning, and applied AI
Experience across the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
Experience adapting or training foundation models (language or multimodal) for novel domains

Bonus Points (or skills you’ll build here)

You've built agents that can plan, reason, and use tools
You know your way around cloud infrastructure (AWS, GCP, Azure)
You’ve worked in a fast-moving startup or high-growth environment

Additional Job details

The base salary range for this position is $240k - $270k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

Benefits For Our Full-Time Employees:

Equity
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Ready to apply?

Apply to Sigma Computing

Sigma Computing

View all jobs →

Staff AI Engineer - Notebooks

Datadog · New York, New York, USA

Apply now

Dev Eng New York Boston Remote Posted May 5, 2026

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

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$234,000—$300,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Ready to apply?

Datadog

View all jobs →

Senior AI Engineer - APM Experiences

Datadog · New York, New York, USA

Apply now

Dev Eng New York Boston Remote - British Columbia Posted May 5, 2026

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

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$187,000—$240,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Ready to apply?

Datadog

View all jobs →

Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces

Datadog · New York, New York, USA

Apply now

Leadership New York Posted May 5, 2026

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 offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$187,000—$240,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Ready to apply?

Datadog

View all jobs →

Manager II, Engineering - Applied AI (NorAm)

Datadog · New York, New York, USA

Apply now

Leadership New York Posted May 5, 2026

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.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$234,000—$300,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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