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Job DescriptionCompany Description Assent is the leading solution for supply chain sustainability tailored for the world’s top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability. We are proud to announce that Assent has crossed the US$100M ARR milestone, granting us Centaur Status. This accomplishment, reached just 8 years following our Series A, makes us the first and only Certified B Corporation in North America's SaaS sustainability industry to celebrate this milestone. Our journey from $5 million to US$100M ARR in just eight years has been marked by significant growth and achievements. With our $350 million US funding led by Vista Equity Partners, we're poised for even greater expansion and are on the lookout for outstanding team members to join our mission. Job Description Position Summary The Senior Product Manager at Assent is a leader and end to end owner of product success, accountable for identifying high-impact opportunities, making sound investment decisions, and ensuring meaningful value is realized for both customers and the business. You will lead the end to end strategy for Assent’s high growth B2B SaaS emerging data network platform, managing a suite of emerging product capabilities. This role requires a balanced strong commercial judgment, deep customer insights, cross-functional leadership and the ability to synthesize insights from data and the market into clear execution plans. . Assent operates in a uniquely complex and meaningful domain at the intersection of global supply chains, product compliance, sustainability, and data. Our products increasingly rely on large-scale data, automation, and AI-enabled capabilities to help customers navigate evolving regulatory requirements with confidence. If you are energized by solving hard, real-world problems with real consequences, and motivated by building products that make the world more responsible and transparent, this role offers both challenge and purpose. Key Requirements & Responsibilities Strategic Ownership & Market Opportunity * Drive Product Strategy: Own the end-to-end product vision and strategy for your portfolio, ensuring alignment with Assent’s broader business objectives and long-term growth targets. * Opportunity Identification: Identify, size, and prioritize high-impact opportunities by synthesizing customer insights, competitive intelligence, product analytics, and win/loss data. * Data-Driven Business Cases: Clearly articulate the "Why" and “What” behind every initiative that defines the customer problem, unique differentiation, business value (ROI), and measurable success metrics (KPIs).. Develop concise product requirements documentation (PRDs) that also include user workflows and data constriants. * Market Intelligence: Serve as the resident expert on market trends and competitive dynamics. Conduct continuous "Voice of the Customer" (VOC) research through advisory boards, interviews, and market analysis to identify unaddressed needs. Execution & Portfolio Alignment * Roadmap Leadership: Translate strategy into a high-integrity roadmap. Define key features, capabilities, and timelines that balance short-term wins with long-term platform scalability. Work effectively with Product Owners to ensure user flows, logic/rules, data constraints and success metrics are robust for writing stories. * Lifecycle Management: Lead cross-functional teams through the full product lifecycle—from initial discovery and business case development to MVP, beta trials, and full-scale GTM launches and ongoing enhancements. This includes migration strategies from legacy to new platforms. * Ecosystem Collaboration: Partner closely with fellow Product Leaders to manage dependencies, sequence releases, and ensure a cohesive user experience across the entire Assent portfolio. * Product Evangelism: Act as the primary internal and external champion for your product line. Influence stakeholders across Sales, Marketing, and Engineering to ensure the solution effectively meets both user needs and commercial goals. Data-Centric & AI-Enabled Innovation * Master the Data Ecosystem: Develop a deep, technical understanding of Assent’s complex data environment including supply chain intelligence, regulatory content, and customer-generated signals to unlock new product value. * Drive Intelligent Automation: Identify and champion opportunities where advanced analytics, automation, and AI/ML can meaningfully improve customer scalability, efficiency, and decision-making. * Build Trustworthy Solutions: Partner with Engineering, Data Science, and Design to architect "intelligent" features that balance technical rigor with transparency and world-class usability. * Navigate Complexity: Thrive in ambiguity; lead the delivery of resilient product capabilities despite evolving global regulations and imperfect data sets. Product Craft & Execution Excellence * Lead Discovery & Design: Orchestrate the discovery process with Design and Engineering to ensure every solution is not only technically feasible but also highly desirable and commercially viable. * Synthesize Complexity: Distill intricate market requirements into clear, authoritative documentation that serves as the "source of truth" for cross-functional execution. * High-Integrity Delivery: Partner with Product Owners to translate high-level strategy into well-structured epics and stories. Actively guide delivery through continuous scope refinement and decisive trade-offs. * Validate & Iterate: Oversee Pilot and Early Access phases, using rigorous data analysis and direct customer feedback to evaluate success and inform the path to General Availability (GA). Cross-Functional Influence & Advocacy * GTM Partnership: Collaborate with Product Marketing and Sales to define value-based pricing, sharp positioning, and high-impact launch strategies that drive rapid market adoption. * Expert Communication: Clearly articulate roadmaps, trade-offs, and outcomes to both technical internal teams and high-profile external stakeholders. * Product Championship: Serve as the primary advocate for your product line, balancing vision with a data-driven response to stakeholder feedback. Operational Health: Support critical customer escalations with a sense of urgency, ensuring immediate resolutions align with the long-term health and architecture of the product. Qualifications Your Knowledge, Skills and Abilities We strongly value your talent, energy and passion. It will also be valuable to Assent if you have the following qualifications * Senior SaaS Leadership: 5–8+ years of Product Management experience in a high-growth B2B SaaS data environment, with a proven track record of driving commercial outcomes (revenue, retention, PLG) rather than just shipping features. * AI & Data Fluency: A strong "data-centric" mindset with the ability to define and execute opportunities in AI and Machine Learning to solve customer pain points. * Product Craft & Judgment: Mastery of the product discovery process within empowered teams. You possess strong product judgment and are comfortable making high-stakes decisions with imperfect information and navigating ambiguity. * Strategic Communication: Exceptional verbal and written skills. You can distill complex roadmaps for internal stakeholders and present with high-credibility in front of global customers. * Collaborative Influence: A "lead-by-influence" mindset. You can navigate cross-functional teams (Engineering, Sales, Marketing) and contribute to the collective success of the broader Product Org. * Education & Certification: Bachelor’s degree in Business, Engineering, or a related field; Pragmatic Marketing certification or an MBA is highly preferred. * Domain Expertise (Plus): Familiarity with supply chain, manufacturing, or regulated industries (e.g., ESG, compliance). Experience with complex data structures like BOMs, mapping, and ERP/API integrations is a significant advantage. * Global Mobility: Ability to travel up to 25% to engage with customers and global teams. * Mission-Driven: A genuine desire to build products that create a resilient, sustainable, and positive real-world impact. Why top Product Managers choose this role * Real ownership and meaningful decision-making authority to a high growth, scaling portfolio * A strong, collaborative Product Management team shaping strategy together * Complex, high-stakes problems powered by data and intelligent automation * A mission-driven domain with global reach and real-world consequences * Talented cross-functional partnerships and leadership opportunities Additional Information Life at Assent Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more. Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more. Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives. Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start. At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs). Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success. If you require assistance or accommodation throughout any part of the interview and selection process, please contact and we will be happy to help. We use AI to support parts of our recruitment process, such as note-taking and initial shortlisting based on job-related qualifications. AI does not make hiring decisions. All candidates will speak with a real person, and final decisions are always made by our recruitment team.

Job DescriptionAbout this role:Pickle is looking for a driven Senior Product Manager to spearhead the next generation of warehouse automation. In this role, you’ll combine strategic product leadership with hands-on execution across robotics, machine learning, and physical AI. This is your chance to bring physical AI solutions to market, solving real customer problems today while paving the way for expansion into new applications and industries.What You’ll Accomplish: • Define the Future of AI: Define the vision, strategy, and comprehensive roadmaps for Pickle’s physical AI solutions, collaborating closely with hardware/software product managers and engineering leadership., • Drive Execution: Lead the product development cycle by translating deep market and customer needs into detailed, technically-aligned product requirements that support core business objectives., • Champion Cross-Functional Success: Ensure successful product outcomes by partnering with highly technical engineering, design, and operations teams to align priorities and execute key deliverables., • Deep Customer & Market Insight: Engage closely with customers and end-users to gather feedback, test prototypes, and iterate on solutions that solve critical real-world problems. Conduct thorough competitive analysis and monitor industry trends to position Pickle's solutions as industry leaders., • Product Lifecycle Ownership: Manage the entire product journey for your designated product area, from initial concept development and prototyping through full production, deployment, and end-of-life strategies.Who You Are:, • Product Management: 5+ years of product management experience, preferably in robotics, automation, or a related field., • Technical Product Expertise: Proven experience driving end-to-end development of AI-powered products—from early inception to delivery. Experience with warehouse automation or robotics is a strong plus., • Development Fluency: Proven ability to collaborate with highly technical teams across both software and hardware domains., • Communication & Documentation: Excellent verbal and written skills, with the ability to clearly and effectively communicate complex technical information to various stakeholders. Demonstrated success in creating high-quality market requirements, product requirement documents, and technical white papers., • Product Tools and Methodologies: Proficient in Agile/Scrum methodologies and systems like JIRA, Confluence, or similar platforms., • Data-driven: Ability to synthesise data, identify trends, and make data-driven decisions—familiarity with tools like Excel, Tableau, or other analytics platforms., • Customer-Centric: Deeply empathetic to customer needs, with a strong ability to translate feedback into actionable insights., • Collaborative: Thrives in a cross-functional environment, working with engineering, marketing, sales, and customers to drive results.

Job DescriptionGann Academy is hiring a math teacher for the 2026-2027 school year. The position may be full or part-time and you would teach a variety of math classes at the standard level. You should have a passion for math, a strong background in classroom teaching, skills in curriculum design and pedagogy, and experience reaching a variety of learners. We value teachers who are committed to collaborating, reflecting, and growing in their teaching practice, and who value a partner- or team-based approach to student work. This is an in-person, part-time or full-time position starting with professional development on August 10th, 2026, and classes beginning the last week of August. This position reports to the Assistant Director of STEM. The salary range is between $60,000-$90,000 annually, commensurate with the number of classes taught, relevant work experience, and qualifications. ESSENTIAL FUNCTIONS: Teaching Duties: • Teach one or more sections of the following courses: Intermediate Algebra, Geometry, Algebra 2, Precalculus, and/or Statistics., • Develop new materials for courses taught and/or adapt existing materials, including assessments, to suit students' needs., • Complete grading and update grades in our learning management system regularly., • Take attendance and manage the classroom., • Offer differentiated instruction to serve a wide range of learners., • Communicate clearly and effectively with students, parents, and colleagues in person and via email., • Use technology and other educational tools to support student learning.Collaborative Responsibilities, • Collaborate with colleagues to plan, adapt, and implement curriculum and lessons that support student growth and that align with the course curriculum of Gann Academy’s Math Department., • Collaborate with colleagues on Math Department initiatives., • Work with students outside of the classroom during prescribed office hours., • Work collaboratively with colleagues across all departments, including the Deans’ team, Learning Center, and the advisory program., • Attend and participate in department meetings; collaborate with department members and Instructional Director on curriculum development, lesson planning, student issues, and department initiatives., • Assist colleagues with substitution when able; arrange and communicate class coverage as needed.Community Involvement & Engagement:, • If full-time, advise a group of 10th-, 11th- or 12th-graders as assigned., • Serve as an advisor to one club., • Attend and participate in communal programs outside the classroom during school hours; model and encourage appropriate behavior and monitor students during events and programming., • Attend and participate in open houses, graduation, and other special events which may take place in the evenings and/or weekends.Professional Development, Growth, and Training, • Attend and participate in all faculty/staff work-day programs, in-service training (including both August and June in-service days), orientation programs, seminars, and safety training/drills., • Pursue professional development opportunities in or out of school; display willingness and ability to grow, learn, and practice self-reflection; work with Instructional Director and other members of the faculty and administration on educational and pedagogical growth and innovative tools and techniques in and out of the classroom.QUALIFICATIONS, • Bachelor’s degree in mathematics is required; a master’s degree is preferred, • Strong organizational and time management skills, • Commitment to student-centered, mastery-based teaching, • Understanding of how to differentiate instruction for learners with broader needs and those eager to explore material beyond the required content, • The qualities of creativity, curiosity, perseverance, and flexibility are highly desirable, • Effective communicators to colleagues, students, and parents, • Excel in time and energy management, • Adept at learning new technology platforms, including the Microsoft Office265 suite, • Must be proficient in English to carry out work as assignedEMPLOYEE BENEFITS, • Competitive salaries, • Professional development, • Comprehensive benefits package featuring generous paid time off policies -including sick time, paid vacation, personal days, and U.S. holidays, Gann employees get up to an additional 15 days off for Jewish Holidays, depending on the Jewish Calendar of the year, • Short Fridays, • Comprehensive Health Insurance, • Retirement Plan Match (403B) starting immediately!, • Hungry? Gann has a full-service kosher dairy dining hall, complete with a fresh salad bar and multiple hot meal options, • Free parking!, • Fitness facilities for our faculty and staff, • Life Insurance, • Long-term Disability (LTD) WORKING CONDITIONS/PHYSICAL DEMANDS Physical demands include dexterity for office machine/supply operation, including but not limited to computer, telephone, electronic calculator, copy machine, and printers. Stooping, bending, reaching for files or supplies, and sitting or standing for extended periods are common. EQUAL EMPLOYMENT OPPORTUNITY Gann Academy is an equal opportunity employer. It is the policy of the school to prohibit discrimination and harassment of any type and to afford equal employment opportunities to employees and applicants, without regard to race, creed, color, religion, national origin, sex (including sexual orientation, gender identity or expression), and pregnancy, age, physical or mental disability, genetic information, or veteran status. ACCOMMODATION External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act, must be able to perform the essential job functions (as listed) either unaided or with a reasonable accommodation to be determined on a case-by-case basis by management. E-VERIFY This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed Form I-9. Powered by JazzHR LRUHzvh0f5

Job DescriptionDirect Counsel is partnering with a premier technology and life sciences law firm seeking Associates for its rapidly expanding Life Sciences Technology Transactions practice. This group advises some of the most influential biotech, pharmaceutical, digital health, and emerging technology companies worldwide—helping them bring groundbreaking therapies and platforms from discovery to regulatory approval.About the Role The firm is seeking candidates with 2–4 years of experience handling: * Licensing agreements * Strategic collaborations & joint development arrangements * Commercial partnering transactions * Representation of biotechs and large pharmaceutical companies in transactions related to: * Novel therapeutics * Vaccines * Diagnostics * Digital health technologies * Clinical development and FDA regulatory pathways Experience working with AI-native or AI-driven life sciences companies—particularly those applying machine learning to drug discovery, diagnostics, or R&D—is a strong plus. This is an exceptional role for attorneys who want to: * Work directly with visionary founders and scientific leaders * Negotiate sophisticated standalone commercial deals that shape the future of medicine * Gain exposure to both life sciences and broader tech transactions work * Grow within one of the nation’s most respected technology transactions platforms Superior academic credentials and excellent written, oral, and interpersonal communication skills are required. Bar Requirements Candidates must be admitted to the bar in the state of the office applied to—or eligible to sit for or waive into the next bar exam. Compensation & Benefits * Base Salary Range: $235,000 – $310,000 * Discretionary performance-based bonus * Comprehensive benefits, including: * Healthcare * Life Insurance * Health Savings & Flexible Spending Accounts * Wellbeing programs * Salary is dependent on experience, qualifications, education, licensure, and office location. Why This Opportunity Stands Out You’ll have the chance to work at the intersection of science, technology, and innovation—supporting transformational discoveries and next-generation therapeutics. The team offers unparalleled access to highly sophisticated commercial work for cutting-edge clients shaping the future of health and technology. About Direct Counsel Direct Counsel partners with leading law firms and in-house legal departments nationwide to connect talented attorneys with outstanding opportunities. We take pride in matching professionals with roles that align with their expertise, values, and long-term career goals. Apply confidentially by sending your resume to

Job Description MERL is seeking a highly motivated PhD student to conduct research on bimanual visuotactile manipulation for industrial applications, such as assembly, disassembly, and tool-enabled operations. The focus of this internship is on developing closed-loop manipulation skills for contact-rich tasks using visuotactile sensing and multi-modal learning from large foundation models. In particular, we are interested in exploring how VLA/RT-style vision-language-action models or foundation manipulation models can be adapted or fine-tuned for real-world bimanual settings. A successful internship will lead to a submission to a top-tier robotics venue (e.g., RSS, ICRA, CoRL) in collaboration with MERL researchers. The internship duration is approximately 3 months, beginning in Summer or Fall 2026, and will be fully onsite at MERL. Required Qualifications • Senior PhD student in robotics, mechanical/electrical engineering, computer science, or related fields., • Machine learning for robotic manipulation (e.g., RL, imitation learning, representation learning, VLA/foundation model fine-tuning), with an emphasis on real-world systems., • Experience with visuotactile sensors (e.g., GelSight, GelSlim, DIGIT)., • Experience working with physical robotic hardware., • Prior publication in top robotics venues (RSS, CoRL, ICRA)., • Experience with foundation models for robotics, such as, • Vision-Language-Action models (e.g., RT-2, RT-X, OpenVLA),, • Multi-modal diffusion or transformer policies,, • Fine-tuning pipelines (e.g., LoRA, RLF). Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job DescriptionJob Summary We are seeking a visionary, execution-focused senior leader to establish and lead an Emerging Technology team centered on advancing Artificial Intelligence (AI) capabilities and delivering innovative, business-driven solutions. This newly created role will build the foundation for enterprise AI strategy, talent development, and scalable implementation across the organization. The ideal candidate combines deep technical expertise, strong leadership, and industry insight to embed AI into core business operations while ensuring governance, security, and regulatory alignment. Duties & Responsibilities * Define and lead the enterprise AI organization aligned with business strategy and technology vision * Build and scale AI capabilities including predictive analytics, generative AI, and agent-based systems * Identify, prioritize, and deliver high-impact AI use cases across business functions * Partner with architecture, cybersecurity, and technology teams to ensure scalable and secure solutions * Serve as a thought leader and champion responsible AI adoption and innovation * Establish governance frameworks for ethical AI, transparency, and risk management * Embed AI into core business processes and decision-making models * Manage vendor partnerships, open-source initiatives, and external collaborations * Monitor emerging AI trends and assess business applicability * Develop and manage AI maturity roadmaps, KPIs, and performance metrics * Lead cross-functional teams delivering AI products and platforms * Ensure regulatory, privacy, and security compliance in all AI initiatives * Represent the organization in industry forums and external partnerships * Foster a culture of experimentation, learning, and innovation * Collaborate with business teams to enhance operations through AI-driven solutions Qualifications, Skills & Experience * 15+ years of leadership experience managing high-performing engineering or technology teams * Proven success developing and executing enterprise-level AI strategies in regulated environments * Strong expertise in AI, machine learning, generative AI, and model lifecycle management * Experience integrating AI within large-scale business and technology architectures * Knowledge of data privacy, ethical AI, and regulatory compliance frameworks * Ability to translate business needs into high-value AI solutions * Experience managing technology vendors, platforms, and partnerships * Strong change-management and team-development capabilities * Excellent executive communication, influence, and stakeholder engagement skills * Industry experience in complex regulated sectors preferred

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity H2O.ai is redefining how enterprises move from data to decisions at enterprise speed. We are a pioneer in predictive AI, generative AI, Agentic AI, and Observability trusted by the world’s most sophisticated and regulated organizations to deploy secure, explainable, and production-grade AI at scale. We are seeking a Senior Enterprise Account Executive to join our growing global sales organization. This role is designed for a proven enterprise seller who thrives in complexity, creates opportunity where none existed, wins against formidable incumbents, and consistently delivers against ambitious revenue targets. You are fluent in enterprise buying motions, credible with senior executives, and passionate about translating advanced AI technology into clear, measurable business outcomes. You bring rigor to qualification, discipline to deal execution, and a relentless focus on net-new and expansion revenue. This is not a volume sales role. This is a strategic, consultative enterprise AI role at a moment when organizations are moving from AI experimentation to AI accountability. This position is based in Boston, Massachusetts. What You Will Do • Own and manage a focused portfolio of large enterprise and Global 2000 accounts, developing and executing multi-year strategic account plans., • Build trusted relationships with C-level and senior executives, including Line-of-Business leaders, CIOs, CDOs, CTOs, and Heads of Data and AI., • Create, develop, and grow a high-quality pipeline across net-new logos and expansion opportunities within existing accounts., • Lead and orchestrate complex, end-to-end enterprise sales cycles, aligning Sales Engineering, Product, Partnerships, Customer Success, and Marketing., • Conduct high-impact discovery using value-based selling methodologies to uncover strategic business challenges and quantify ROI, risk reduction, and operational impact., • Clearly articulate and differentiate H2O.ai’s platform against incumbent and emerging AI competitors, positioning value at the business and economic level., • Design and execute thoughtful deal strategies, including stakeholder mapping, value justification, competitive positioning, partner leverage, and close planning., • Maintain accurate forecasting, disciplined pipeline management, and impeccable CRM hygiene., • Partner closely with Solution Engineering to demonstrate customer-specific AI value and outcomes. In this role, you will: • Co-sell and collaborate across the Data and AI ecosystem, including cloud, infrastructure, data platform, and AI partners., • Develop joint account strategies with partner sales teams to accelerate access, increase deal size, and expand deal scope., • Leverage OEMs, hyperscalers, neo-clouds, GSIs, regional SIs, and resellers to drive velocity, credibility, and enterprise adoption. What We Are Looking For • 7+ years of enterprise sales experience selling complex software platforms (AI, data, analytics, ML, or adjacent enterprise technology) into large enterprises., • A strong, credible enterprise executive network, with experience selling to senior technical and business stakeholders., • Proven ability to design, navigate, and close complex, multi-stakeholder transactions with long sales cycles., • Consistent track record of overachieving quota and winning competitive, high-value opportunities., • Strong qualification discipline (MEDDICC / MEDDPICC or similar), deal rigor, and forecasting accuracy., • Ability to thrive in ambiguous, fast-moving environments, bringing structure, clarity, and momentum to complex engagements., • Collaborative, ecosystem-oriented mindset with a strong sense of ownership., • Excellent executive-level communication skills (written, verbal, and presentation)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR s7xILxtzBM

Job DescriptionAt WHOOP, we are building the future of human performance and healthspan. Our wearable and platform translate continuous physiological data into insights that help millions of members train smarter, recover better, and live longer, healthier lives. As WHOOP enters its next phase of AI-driven innovation, foundation models will sit at the core of how we understand human physiology, personalize guidance, and deliver clinically meaningful insights at scale. We are seeking a VP, Foundation AI to lead the development of WHOOP’s multimodal foundation models. These systems unify wearable sensor data, language, blood biomarkers, clinical information, and self-reported inputs to power the next generation of health intelligence. This is a rare opportunity to shape foundational technology with direct impact on real-world health outcomes, enabled by one of the world’s richest longitudinal physiological datasets and a clear mandate to deploy AI responsibly in production. In this role, you will report to the SVP of Research, Algorithms, and Data and serve as WHOOP’s most senior technical leader for in-house foundation model development. You will define modeling and architectural strategy, guide training and scaling decisions, and ensure these models mature into robust, production-grade systems that deliver measurable value to members. Partnering closely with executive leadership, product, engineering, and clinical teams, you will align technical execution with WHOOP’s broader AI strategy and long-term business goals. The ideal candidate combines deep technical expertise in large-scale AI with proven experience building and leading high-performing organizations. You bring scientific rigor, strong judgment, and strategic leadership to advance the frontier of applied AI in health while maintaining reliability, integrity, and member trust.RESPONSIBILITIES: • Lead a world-class team in the design, training, evaluation, and deployment of large-scale multimodal foundation models spanning wearable sensor data, language, blood biomarkers, clinical datasets, and self-reported inputs, • Serve as the senior technical authority on foundation model architecture, representation learning, and training strategy, guiding critical design and investment decisions, • Build, grow, and mentor a high-performing AI organization, fostering a culture of technical excellence, collaboration, accountability, and continuous learning, • Partner closely with MLOps, data engineering, and software engineering teams to scale and serve foundation models in high-throughput, production environments, • Define and drive WHOOP’s long-term AI strategy, ensuring alignment between foundational research, product innovation, and company goals in health, performance, and longevity, • Establish rigorous standards for model evaluation, validation, and monitoring, with a focus on robustness, generalization, and real-world performance, • Communicate technical vision, milestones, and tradeoffs clearly to executive leadership and cross-functional stakeholders to ensure alignment and organizational buy-inQUALIFICATIONS:, • Deep expertise in modern AI and machine learning, demonstrated through significant professional or academic experience building large-scale learning systems deployed in real-world environments, • At least 10 years of experience in AI and machine learning, including a minimum of 5 years leading and scaling high-performing technical teams or organizations, • Proven hands-on experience developing large models from scratch using distributed training frameworks such as PyTorch or JAX, including ownership of data pipelines, training infrastructure, optimization strategies, and evaluation methodologies, • Direct experience designing or leading foundation models or similarly generalizable representation learning systems that support multiple downstream tasks or modalities, • Demonstrated ability to translate cutting-edge research into durable, user-facing products that deliver sustained and measurable real-world value, • Experience working with complex, high-dimensional, and noisy data sources, including time-series sensor data or multimodal datasets, • Strong judgment around model robustness, evaluation, and failure modes, with an understanding of how modeling decisions impact user trust, safety, and outcomes in high-stakes applications, • Experience partnering closely with product, engineering, and infrastructure teams to deliver AI systems that balance scientific ambition with scalability, performance, and maintainability, • Track record of operating effectively in regulated, safety-critical, or trust-sensitive domains, or of applying equivalent rigor in environments where correctness and reliability are essential, • Exceptional communication skills, with the ability to articulate technical vision, tradeoffs, and progress to executive leadership and to both technical and non-technical audiences

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a Manager/Senior Manager with a strong Life Sciences background and hands-on commercial analytics experience to launch a Kidney Commercial Data Product to support an upcoming pharma launch. This role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product ownership, metric design, and stakeholder alignment. Key Responsibilities • Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions, • Own the end-to-end commercial data product for a kidney launch, from vision to execution., • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership., • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics, • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse., • Ensure strong Power BI semantic model understanding (measures, relationships, performance)., • Enable self-service analytics through well-designed datasets—not dashboards alone., • Establish KPI governance, adoption tracking, and success metrics for the product., • Lead a small cross-functional pod (data engineers, analysts)., • Operate in an agile delivery model with clear sprint outcomes and executive visibility., • 10+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences., • Strong experience with pharma launches, including segmentation, performance tracking, and KPI design., • Hands-on understanding of Snowflake (data modeling, performance considerations)., • Strong Power BI semantic layer knowledge along with visualization, • Proven experience owning product backlogs and driving roadmap execution. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionAbout SimpliSafe SimpliSafe is a leading innovator in home security, on a mission to make every home a safe home. We build user-centric hardware, software, and services that protect what matters most, with a hybrid work model and a highly collaborative, low-ego culture. Why this role exists We're scaling AI and machine learning across our products, devices, and operations. To do this well, we need a Principal Product Manager who understands not only how to apply AI in user experiences, but also how models, data, and pipelines are built, deployed, and operated in production—including on resource-constrained, edge hardware. You will lead our highest-impact AI initiatives end-to-end: defining where to invest, shaping model and data requirements, partnering with MLOps and ML engineering on deployment (cloud and edge), and driving continuous improvement after launch. What you'll own • Vision & strategy, • Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe., • Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services., • Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering., • End-to-end AI systems (cloud & edge), • Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring., • Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)., • Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)., • Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)., • Generative AI & LLMs, • Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)., • Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations., • Design workflows that incorporate human review and escalation where needed., • Execution & leadership, • Drive cross-functional execution across product, engineering, data science, hardware/firmware, operations, and go-to-market., • Establish feedback loops (customer feedback, annotation programs, operational input) and use them to guide retraining and iteration., • Operate at Principal level: set direction across multiple teams and mentor other PMs., • Risk, ethics & communication, • Ensure ethical and responsible use of AI, including privacy, bias, explainability, and safety guardrails., • Communicate how AI systems work, their benefits, and their limitations to executives and non-technical stakeholders.What we're looking for, • 8+ years of product management experience, including significant ownership of AI/ML or data-intensive products., • Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps., • Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders., • Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining., • ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)., • Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)., • Comfortable going deep into data, metrics, and model behavior—not just the UX layer., • Excellent communicator who can make complex AI topics clear to diverse audiences., • Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration. Nice to have • Prior hands-on experience as a data scientist, ML engineer, or MLOps engineer., • Experience with ML platforms (feature stores, pipeline orchestration, experiment tracking)., • Experience in regulated or safety-critical environments.About You, • You are excited to go deep under the hood: data, pipelines, model choices, failure modes—not just the UX layer., • You're comfortable in non-deterministic environments where experiments fail, models drift, and iteration is the norm., • You combine data-driven decision making with sound judgment when data is incomplete., • You're an exceptional communicator who can explain complex AI systems to diverse audiences and bring them along in the decision., • You lead through influence, building alignment across product, engineering, data science, operations, and leadership., • You are a continuous learner who keeps up with AI/ML advancements and can distinguish lasting foundations from short-lived hype.What Values You'll Share, • Customer Obsessed – Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High – Always challenging ourselves and others to raise the bar., • No Ego – Maintaining a "no job too small" attitude, and an open, inclusive, and humble style., • One Team – Taking a highly collaborative approach to achieving success., • Lift As We Climb – Investing in developing others and helping those around us succeed., • Lean & Nimble – Working with agility and efficiency to experiment in an often ambiguous environment.What We Offer, • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive., • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: BHSI has an exciting opportunity for a visionary and execution-focused senior leader to establish and lead our Boston based Emerging Technology team focused on building Artificial Intelligence (AI) capabilities and skillsets and delivering innovative solutions that provide business impact. In this newly created role, one of the first calls to action will be identifying and attracting highly skilled software engineers with capabilities and character to build the foundation of the Emerging Technology Team. Additionally, the head of Emerging Technology will be responsible for advancing AI capabilities, driving innovation through use case development, and embedding AI into the fabric of our business. The leader will work closely with Architecture, technology functions, and business partners to ensure alignment and scalability. The ideal candidate will also have a deep understanding of the insurance industry, regulatory requirements, and the unique opportunities within the P&C industry. Duties & Responsibilities: • Define and lead the enterprise AI team, aligning with business goals and technology vision, • Build and scale internal AI (Predictive AI / GenAI / Agentic AI) capabilities, including platforms, tools, and talent development, • Identify, prioritize, and lead high-impact AI use cases across business functions, • Partner with Enterprise Architecture, Business Architecture, and Cybersecurity to ensure AI solutions are scalable, secure, and integrated, • Serve as a thought leader and internal evangelist for responsible AI adoption and innovation, • Establish governance frameworks for ethical AI use, model transparency, and risk management, • Collaborate with functional leaders to embed AI into core business processes and decision-making, • Oversee vendor partnerships, open-source contributions, and external collaborations in the AI ecosystem, • Monitor emerging trends in AI and assess their relevance and applicability to the company, • Develop and manage a roadmap for AI capability maturity, including KPIs and success metrics, • Lead cross-functional teams of software engineers and product managers to deliver AI solutions, • Ensure compliance with regulatory and privacy standards in AI implementations, • Represent the company in industry forums and with external stakeholders on AI topics, • Foster a culture of experimentation, continuous learning, and innovation in AI, • Help align AI initiatives with the specific needs and goals of the business, • Ensure AI solutions comply with industry regulations, including data privacy and security standards relevant to the insurance industry, • Collaborate with underwriting, claims, and actuarial teams to develop AI-driven solutions that enhance risk assessment, claims processing, and customer experience, • Partner with regulatory and compliance teams to navigate the evolving landscape of AI regulations in the insurance industry, • Foster relationships with industry bodies, regulatory agencies, and external partners to stay ahead of emerging trends and regulatory changes Qualifications, Skills and Experience: • Minimum 15 years’ experience leading and managing a high performing engineering teams, • Proven experience defining and executing enterprise-level AI strategies, ideally within regulated industries such as insurance or financial services, • General familiarity with underwriting, claims, actuarial models, and regulatory frameworks specific to the property and casualty insurance industry, • Strong foundation in AI, Machine Learning, and GenAI technologies, including model development, Large Language Models, deployment, and lifecycle management, • Experience collaborating with enterprise and business architecture teams to ensure scalable, secure, and integrated AI solutions, • Knowledge of data privacy laws (e.g., GLBA, CCPA), model transparency, and ethical AI practices relevant to insurance, • Demonstrated ability to partner with business leaders, technology functions, compliance, and data teams to drive AI adoption and innovation, • Experience managing AI vendors, open-source tools, and external partnerships to accelerate capability development, • Ability to lead organizational change, upskill teams, and foster a culture of innovation and continuous learning, • Strong skills in identifying, prioritizing, and quantifying the value of AI use cases aligned with business objectives., • Excellent communication and storytelling skills to influence executive stakeholders and represent the organization in industry forums BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Boston is $275,000 to $325,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

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About the job Senior Machine Learning Engineer.

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