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About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are looking for a Senior Manager of Data Science to lead the end-to-end design, development, and deployment of advanced machine learning solutions for supply chain demand forecasting and root cause analysis. This is a hands-on leadership role — you will architect the analytical framework, guide a cross-functional team of data scientists, and serve as the primary technical interface with senior stakeholders. Required Qualifications Experience • 12–15 years of progressive experience in data science, machine learning, or quantitative analytics — with at least 4 years in a lead or management role, • Proven track record delivering end-to-end ML pipelines in production environments — from raw data through model deployment and monitoring, • Hands-on experience with demand forecasting, supply chain analytics, or operations research in an industrial, manufacturing, or distribution context, • Demonstrated experience leading cross-functional analytics teams, including offshore or distributed team members, • Experience presenting complex analytical findings to C-level and VP-level stakeholders with measurable business impact Technical Skills • Expert-level proficiency in Python: scikit-learn, XGBoost, LightGBM, statsmodels, pandas, numpy, scipy, • Deep expertise in ensemble methods — gradient boosting (GBM, XGBoost, LightGBM) and random forest variants including quantile regression forests, • Proficiency in probabilistic forecasting: quantile regression, prediction interval construction and calibration, Winkler scoring, pinball loss, • Strong statistical foundation: hypothesis testing, KS tests, distribution shift detection, time-series analysis (ACF, PACF, change-point detection), • Experience with feature engineering for time-series and supply chain data: lag features, rolling statistics, Fourier encoding, interaction terms, • Proficiency with experiment tracking and MLOps tooling (MLflow, DVC, or equivalent); familiarity with CI/CD for ML pipelines, • Ability to write and review production-quality Python code; experience with SQL for data extraction and transformation, • Familiarity with cloud platforms (AWS, Azure, or GCP) for model training, deployment, and scheduled execution Education • Master's degree or PhD in Data Science, Statistics, Machine Learning, Operations Research, Industrial Engineering, or a related quantitative field, • Bachelor's degree in a quantitative discipline with equivalent industry experience considered Preferred Qualifications • Experience with intermittent demand modelling: Croston method, Syntetos-Boylan Approximation (SBA), ADI-CV² classification, • Familiarity with Forecast Value Add (FVA) frameworks and multi-layer forecast override governance, • Experience with inflection point detection and structural break analysis in demand time series, • Background in consulting or professional services — experience running client-facing analytical engagements with gate reviews and formal deliverables, • Familiarity with S&OP (Sales and Operations Planning) processes and integrated business planning cycles, • Experience deploying analytical tools in enterprise environments with IT security and compliance constraints, • Publications, conference presentations, or open-source contributions in ML, forecasting, or supply chain analytics People & Delivery Leadership • Lead, mentor, and develop a team of 3–6 data scientists across US and India; provide technical guidance, career development support, and performance feedback, • Define team roadmap, prioritise work streams, and ensure on-time delivery against project milestones — including intermediate client-facing outputs at each analytical phase, • Collaborate closely with the India-based Lead Data Scientist to ensure seamless coordination across time zones; act as the primary technical escalation point for the offshore team, • Conduct design validation workshops, cluster review sessions, and gate reviews with business stakeholders at each phase of the analytical cycle, • Translate complex ML findings into business-language reports and executive presentations, clearly communicating what was found, why it matters, and what action to take Privacy Notice Declarations for California based candidates/Jobs::

Research Scientist San Francisco (On-Site) About the Role We are looking for exceptional researchers and research engineers to design and build the next generation of AI benchmarks. You will create high-impact, challenging evaluations that push the boundaries of what we can measure in foundation models. This role is perfect for someone with deep research expertise who wants to see their work directly influence how the world evaluates AI systems. You will lead the design and development of novel benchmarks that assess real-world capabilities of LLMs. Our benchmark shapes how foundation models are developed and generative AI applications are built. We work with all the major foundation model labs, some of the largest financial institutions, and hospital systems in the world. Our work has been featured by the Wall Street Journal, Washington Post, and Bloomberg. We are building the standard for evaluating the ability of LLMs to perform real-world tasks. You will be at the forefront of defining what that standard looks like. What You'll Do • Design and develop novel, high-impact benchmarks that assess challenging real-world capabilities, • Conduct research to ensure our benchmarks are valid, reliable, and meaningful, • Collaborate with foundation model labs and enterprises to understand evaluation needs, • Analyze model performance across benchmarks and communicate findings, • Publish research findings and contribute to the broader evaluation research community, • Work closely with the infrastructure team to implement your benchmark designs at scale, • Stay current with the latest developments in LLM capabilities and evaluation methodologies Requirements • Advanced research experience: Master's degree or PhD in Computer Science, NLP, Machine Learning, or related field. Undergrads with very strong research backgrounds may also be considered., • Publication track record: Published papers in reputable venues (NeurIPS, ICML, ACL, EMNLP, etc.) with a focus on NLP, ML evaluation, or benchmarking, • Research methodology: Strong understanding of experimental design, statistical analysis, and evaluation frameworks, • Technical skills: Proficiency in Python for research and experimentation, • Communication: Ability to clearly communicate complex research ideas to both technical and non-technical audiences, • Collaboration: Experience working in research teams and integrating feedback, • Portfolio: Demonstrated track record of impactful research work, • Location: We are an in-person team based in San Francisco. We will support your relocation or transportation as needed. Nice to Haves • Experience specifically in LLM evaluation or benchmarking research, • Familiarity with foundation model architectures and capabilities, • Experience working with industry partners or in applied research settings, • Background in areas like human-computer interaction, psychology, or domain-specific evaluation, • Experience at early-stage startups or research labs, • Contributions to open-source evaluation tools or datasets

About CT Labs ___ is an AI consultancy firm focused on building and deploying applied AI solutions for clients across industries. We work with organizations to identify where intelligent systems create real value, then we build and implement them. About the role We are looking for an AI Consultant who combines technical depth with strong client-facing skills. You will own the full consulting cycle: discovery, solution design, delivery, and adoption. This is not a purely advisory role; you will get your hands on the work. What you will do Lead client discovery sessions to identify AI use cases and assess feasibility. Develop solution recommendations across machine learning, NLP, generative AI, and automation. Manage project delivery in collaboration with internal engineers and data scientists. Present technical roadmaps and outcomes to executive stakeholders. Advise clients on AI governance, risk, and change management. Stay current with tools and models and proactively share relevant insights with clients. What we are looking for 3+ years of experience in AI consulting, applied ML, or a related field. Hands-on experience with machine learning frameworks and large language models. Ability to communicate technical concepts clearly to non-technical audiences. Strong project management skills and a comfort level managing multiple clients simultaneously. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience. Nice to have Experience in a specific vertical such as healthcare, finance, or retail. Background in change management or organizational transformation. Prior experience at a consulting firm. What CT Labs offers Substantive work on real client problems. A team that values technical excellence and clear thinking. Direct impact without layers of bureaucracy. Competitive compensation and benefits.

About Us TheMathCompany (MathCo®) is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions that solve complex business challenges through our innovative hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO). At MathCo, we foster an open, transparent, and collaborative culture. We value capability and attitude over tenure, offering exciting growth opportunities that empower our Mathemagicians to Leave a Mark. Role Description We are seeking an Engagement Manager with deep technical grounding in Recommender Systems and Personalization to lead complex, high-impact engagements with enterprise clients in the retail and e-commerce domain. This role combines client leadership, delivery ownership, and hands-on analytics expertise. You’ll partner with business and data science teams to define the recommendation strategy, design and operationalize AI-driven personalization systems, and ensure measurable business outcomes. The ideal candidate is fluent in both client engagement and machine learning, capable of translating recommendation models (BERT, NCF, content-based, and collaborative filtering) into actionable business value. Key Responsibilities • Own the client relationship and act as the strategic interface between MathCo and senior stakeholders at large retail or e-commerce enterprises., • Lead the end-to-end delivery of recommendation system projects — from problem framing and modeling approach to deployment and performance optimization., • Oversee technical discussions on model architecture, feature engineering, loss/activation functions, and evaluation metrics (e.g., NDCG, MAP)., • Translate analytical outcomes into clear, data-backed recommendations that influence business strategy and drive measurable impact., • Collaborate closely with cross-functional teams (Data Engineering, MLOps, and Product) to operationalize recommender systems using modern AI tech stacks (TensorFlow, PyTorch, BERT, NCF)., • Build and mentor a team of data scientists and machine learning engineers, ensuring best practices in project management, technical quality, and client communication., • Strong hands-on understanding of recommender systems, personalization algorithms, and ranking models., • Deep familiarity with BERT, NCF, neural network architectures, and feature embedding methods., • Proficiency in Python, with experience in TensorFlow / PyTorch frameworks., • Working knowledge of data pipelines, feature stores, and MLOps practices., • Excellent client-facing skills: can communicate complex technical solutions in a clear and business-relevant way., • Ability to lead analytical engagements, align multiple stakeholders, and manage delivery timelines in dynamic environments., • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline., • Master’s in Business Analytics, Data Science, or equivalent is preferred., • 6–10 years of total experience, including at least 3–4 years in machine learning or recommender systems projects., • Embody MathCo’s culture of ownership, transparency, and excellence., • Demonstrate curiosity and initiative in solving client problems through data., • Coach and inspire your team to deliver exceptional impact., • Foster diversity of thought and collaboration across teams.

Lead Data Scientist San Francisco, CA (Hybrid – 3 days/week) Salary: $170-190,000 base + equity Contact: A fast-growing, tech-driven healthcare platform is seeking a Lead Data Scientist (AI/ML) to help build and scale next-generation AI products that support medical professionals at scale. The Opportunity You’ll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy. What You’ll Do • Build, train, and optimize machine learning and AI models powering core product features, • Work with large-scale datasets to generate insights and improve model performance, • Partner with product, engineering, and analytics teams to define and execute data-driven initiatives, • Design and implement experimentation frameworks to evaluate model and product performance, • Translate complex technical outputs into clear, actionable insights for stakeholders, • Contribute to the broader data and AI strategy, helping shape future product direction What We’re Looking For • Strong foundation in statistics, including experimentation, probability, and exploratory analysis, • 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets, • Hands-on experience building and deploying machine learning models in production, • Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation), • Proficiency in Python and SQL, with strong coding and data manipulation skills, • Experience with scalable data processing (e.g., distributed systems, large-scale pipelines), • Ability to communicate technical insights clearly to non-technical stakeholders, • Strong product mindset with a focus on driving measurable impact Why This Role? • Work on AI products with real-world healthcare impact, • Access to large-scale, proprietary datasets, • Highly collaborative, product-driven environment, • Opportunity to shape AI strategy at scale, • Competitive compensation: $170K–$248K total comp (base + equity)

Software Engineer – High Performance Systems / ML Infrastructure Location: Mountain View, CA (Hybrid – 3 days onsite) A well-funded, high-growth deep tech company is building next-generation compute infrastructure to support large-scale machine learning workloads. This is a rare opportunity to work across the full stack — from hardware interaction through to system-level performance — in a team focused on solving some of the hardest problems in compute. What you’ll be doing • Build and maintain functional and performance models of custom hardware, • Develop tools to support debugging, validation, and performance analysis, • Work closely with architecture, compiler, runtime, and validation teams, • Contribute to system and architectural decisions, • Identify and implement performance improvements across the stack What they’re looking for • Strong software engineering fundamentals with a focus on performance and maintainability, • Solid understanding of computer architecture, • Experience working in low-level or systems environments, • Ability to work cross-functionally with hardware and software teams Nice to have: • Rust experience, • Experience with simulators or hardware modeling, • Exposure to ML infrastructure or accelerator architectures, • Familiarity with performance optimization and benchmarking Why this role stands out • You’ll be working on real, hard engineering problems at the intersection of hardware and software, • The team is small, highly technical, and moves quickly, • High level of ownership and impact on core system design, • Strong compensation with flexibility between cash and equity Compensation • Broad range depending on experience:, • $220k – $400k base + equity, • Flexible cash vs equity structure

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are hiring a Lead Data Scientist to be the primary technical engine of our supply chain demand forecasting and root cause analysis platform. This is a hands-on senior individual contributor role with significant ownership — you will implement, validate, and maintain the full ML pipeline, working closely with the US-based Senior Manager. Required Qualifications Experience • 9–12 years of hands-on experience in data science or machine learning — with a strong emphasis on Python-based ML engineering in production environments, • 3+ years of experience with time-series forecasting or supply chain analytics in a commercial context, • Demonstrated experience building end-to-end ML pipelines from raw tabular data through model output and reporting — not just notebook prototyping, • Experience working in cross-functional teams with stakeholders across business, IT, and analytics; ideally in a consulting or professional services environment, • Track record of delivering high-quality, well-documented, reviewable code in a team setting Technical Skills • Expert-level Python: scikit-learn, pandas, numpy, scipy, joblib — able to write production-grade, optimised code for large datasets, • Deep hands-on experience with ensemble methods: gradient boosting (GBM, XGBoost, LightGBM) and Random Forest — including hyperparameter tuning and performance diagnostics, • Proficiency in quantile regression and probabilistic forecasting: building tree-level percentile prediction intervals, measuring PI coverage (Winkler score, pinball loss), and detecting quantile crossing violations, • Strong statistical skills: KS 2-sample tests, ACF/PACF analysis, change-point detection, IQR outlier detection, Pearson/Spearman correlation, • Proficiency with SQL for data extraction, transformation, and validation, • Familiarity with version control (Git), experiment reproducibility (SEED management, config-driven pipelines), and collaborative development workflows Education • Master's degree or PhD in Data Science, Statistics, Computer Science, Machine Learning, Operations Research, or a related quantitative field, • Bachelor's degree with equivalent industry experience in a quantitative discipline considered Privacy Notice Declarations for California based candidates/Jobs::

🔸 AI / ML Research Scientist | AI for Scientific Discovery (AI x Bio) 🔸 Competitive Base + Meaningful Equity 🔸 Hybrid (San Francisco) 🔸 AI-First Scientific R&D Company 👉 PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER We’re working with a well-capitalized, AI-native company building foundation models and learning systems to accelerate breakthroughs across biology and the life sciences. This team isn’t just applying AI to science - they are rethinking how science itself is done. From training models that can reason over biological systems to developing autonomous workflows that generate and test hypotheses, their work sits at the frontier of AI x Bio. They are hiring AI / ML Research Scientists to push the boundaries of what machine learning can do in real-world scientific discovery. This is a deeply technical, research-driven role with direct impact on how new therapies, insights, and technologies are created. 🔸 What You Will Work On • Develop novel machine learning approaches for modeling complex biological systems, • Train and adapt large-scale models (e.g. foundation models, multimodal systems) on scientific data, • Design systems that can reason, generalize, and generate testable scientific hypotheses, • Work closely with engineers and domain experts to bring research into real-world workflows, • Explore emerging paradigms (e.g. agentic systems, self-improving models, automated science) 🔸 What They’re Looking For • Strong background in machine learning / AI (PhD or equivalent industry experience), • Experience developing and training deep learning models from first principles, • Hands-on experience with modern architectures (transformers, diffusion, multimodal models, etc.), • Strong coding ability (Python, PyTorch and/or JAX) 🔸 Bonus Skills • Experience with biological data (genomics, proteomics, drug discovery, etc.), • Experience with large-scale model training or distributed systems, • Experience with LLMs, reasoning systems, or agentic workflows, • Background in reinforcement learning or generative modeling, • Track record of research (papers, open-source, or impactful industry work) 🔸 Location & Work Environment This is a hybrid role. While remote candidates in the Eastern Time Zone (U.S.) are welcome, there is a preference for individuals able to periodically collaborate in person with the team. Interested candidates should apply via direct message or LinkedIn application.

We are looking for a Vision-Language-Action (VLA) Research Engineer to help build the next generation of intelligent robotic systems. In this role, you will work at the intersection of computer vision, language models, and embodied control, developing models that allow robots to perceive the world, reason with language, and take meaningful actions in real-world environments. You will collaborate closely with systems engineers to translate cutting-edge research into scalable, real-world robotic capabilities. Responsibilities • Design, implement, and evaluate Vision-Language-Action models for embodied agents and robotic systems, • Develop multimodal learning pipelines combining visual perception, language understanding, and action/control, • Train and fine-tune large-scale models using simulation and real-world robotic data, • Explore approaches such as imitation learning, reinforcement learning, foundation models, and policy learning, • Integrate perception and decision-making models with robotic hardware and simulators, • Conduct experiments, analyze results, and iterate rapidly on model architectures, • Collaborate on research publications, internal reports, and technical documentation, • Stay current with the latest research in robotics, multimodal learning, and foundation models Qualifications • Strong background in machine learning, robotics, computer vision, or NLP, • Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow), • Hands-on experience with vision-language models, policy learning, or embodied AI, • Solid programming skills in Python (C++ a plus), • Familiarity with robotics concepts such as control, kinematics, sensors, or simulation, • Ability to read, implement, and extend research papers Preferred Qualifications • Experience training or deploying Vision-Language-Action or multimodal foundation models, • Experience with robotic simulators (e.g., Isaac Sim, MuJoCo, Habitat, Gazebo), • Background in reinforcement learning, imitation learning, or offline RL, • Experience working with real robotic platforms (manipulation, navigation, mobile robots, etc.), • Publications in top-tier conferences or journals (e.g., RSS, ICRA, CoRL, NeurIPS, ICML, CVPR), • Experience scaling training pipelines on distributed or cloud systems

The Opportunity: The Sales Representative is responsible for successfully pursuing net new business opportunities and managing existing customer accounts to achieve our annual sales objectives. The Sales Representative prospects and engages new customers to develop new business for our plants, manages current customer relationships. The Sales Representative will partner with management to complete budget planning, work with the area operations teams to sell open machine capacity and value-added services while supporting cross-functional teams to ensure sales strategy execution. How you will impact Smurfit Westrock: Business Excellence • Effectively articulate our sales vision and strategy in the pursuit of new business opportunities, develop a robust sales pipeline, and manage select existing customer relationships, • Ability to navigate within a customer’s organizational structure and build relationships at multiple levels within accounts, • Drive Commercial Excellence to exceed our area volume and profit goals through new account development within targeted segments, growth in existing accounts, actively participate in margin improvement initiatives and both drive and support enterprise sales efforts, • Develop working relationships with other Smurfit Westrock facilities to create opportunities for additional revenue streams across the enterprise capabilities, • Identify pricing dynamics within accounts to provide insights to Smurfit Westrock commercial decisions, • Understand market dynamics and business drivers that define long-term commercial strategies and have an impact on our area and develop strategies to reach company objectives, • Utilize internal resources to leverage knowledge of market trends and competition, • Define overall account vision, ‘Play to Win’ and account growth plan for targeted customers by aligning market trends and customer needs with Smurfit Westrock solutions, • Deliver results by executing on weekly, monthly, quarterly, and annual sales targets, • Meet or exceed individual budgeted and volume sales goals to contribute to the organization’s annual targets objectives, • Monitor profitability levels to track progress against budgeted targets and analyze monthly financial summaries, • Effective utilization of CRM system (Salesforce.com) to manage opportunities and pipeline on a consistent basis, • Seek and qualify prospective customers in accordance with Sales strategy, • Collaborate with cross-functional teams to ensure effective execution of the overall Sales strategy, • Collaborate with cross-functional teams to identify value add opportunities to improve margins, • Manage customer engagement through the sales lifecycle to ensure contractual obligations are met and to enable customer satisfaction What you need to succeed: • Bachelor’s degree preferred, • 2-3+ years business-to-business (B2B) Sales experience (Manufacturing/service industry preferred), • Ability to create and deliver engaging presentations to internal and external audiences, • Demonstrated sales competence and financial acumen, • Experience with Salesforce.com, • Microsoft Office – Excel, Outlook What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Benefits package includes medical, dental, vision, life insurance, 401k with match and more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

On-Target Earnings (OTE) Range San Francisco: the pay range for this role is $189,000 to $259,500 per year. About this role Faire's quality, depth, and breadth of brands is its strongest value to retailers. The Enterprise Account Executive role sits at the center of our enterprise brand acquisition efforts — partnering with larger, more complex brands to bring them onto the Faire platform. You'll own a book of strategic prospects, navigate multi-stakeholder sales cycles, and help shape how we approach enterprise partnerships as a team.This role is for you if you've sold into mid-market or upper mid-market environments where deals involve 5-6 stakeholders, span multiple quarters, and require building business cases that resonate across departments. You're a strong storyteller who understands change management and knows how to frame value for decision-makers who are protective of their existing distribution strategies. What you’ll do • Own and execute against a quarterly quota of GMV and brand activations, managing a pipeline of strategic enterprise prospects, • Navigate complex, multi-stakeholder sales cycles (typically 6-9 months) by building relationships across departments and handling objections at each level, • Develop tailored proposals and business cases that align Faire's value with each prospect's specific goals and constraints, • Partner with cross-functional teams - including Product, Strategy & Analytics, and Revenue Operations - to refine our enterprise sales motion and share market, • insights, • Contribute to the evolution of our sales playbook, value props, and outreach strategies based on what you learn in the field, • Meet prospects in person when needed to build trust and accelerate deal velocity Qualifications • 5+ years of closing experience in B2B technology sales, ideally in mid-market or upper mid-market environments, • Track record of managing complex sales cycles with multiple stakeholders and long timelines, • Experience selling products or services that require change management or business model evolution on the buyer's side, • Strong storytelling ability - you can articulate value clearly and build narrative around why a prospect should act, • Comfort with ambiguity and a bias toward action; you figure things out and move forward, • Retail, e-commerce, or marketplace experience is a strong plus, • Based in or willing to relocate to San Francisco On-Target Earnings (OTE) Range San Francisco: the pay range for this role is $189,000 to $259,500 per year. This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire • We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process., • We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners., • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy., • We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our___. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our ___ (___

SBT is the exclusive retained recruiting firm for this position. Company Overview This confidential startup is a well-funded early-stage semiconductor company focused on advancing AI-driven design to address emerging challenges in the artificial intelligence ecosystem. The company is developing innovative technologies that leverage automation and machine learning to accelerate the design and development of complex analog semiconductor solutions. By applying AI to traditionally manual and time-intensive design processes, the organization aims to unlock faster innovation cycles and enable the next generation of AI hardware infrastructure. Job Role • Design and implement digital control logic for power management ICs, • Work closely with analog engineering teams to ensure effective integration between digital control blocks and analog power circuitry, • Develop high-quality, power-efficient RTL using Verilog or SystemVerilog to support key features, • Contribute to product readiness for manufacturing by supporting design-for-test methodologies, • Create and execute comprehensive verification strategies, including mixed-signal simulations and behavioral modeling Qualifications • BS or MS degree in Electrical Engineering, Computer Engineering, or a related field., • 10+ years of experience in digital IC design, including significant experience developing solutions for mixed-signal or power management semiconductor products., • Strong proficiency in RTL development using Verilog or SystemVerilog for synthesizable digital design., • Hands-on experience designing digital control logic for power conversion systems, including control loops used in power management or DC-DC converter applications.

Enterprise Account Executive – Fiddler AI About the Company- Fiddler is a fast-growing AI company focused on helping organizations build trust in artificial intelligence. As AI technologies—particularly Generative AI and autonomous agents—continue to evolve, businesses face increasing challenges around transparency, reliability, and governance. Fiddler’s platform helps organizations monitor, evaluate, secure, and improve their AI systems in production. By providing deep visibility into how AI models behave, the platform enables engineering, data science, and business teams to understand the “what, why, and how” behind AI outcomes, allowing them to deploy AI solutions responsibly and at scale. The company partners with AI-first organizations to establish long-term frameworks for responsible AI practices—ultimately helping build trust with their users and stakeholders. Leadership The company is backed by leading venture capital firms including Insight Partners, Lightspeed Venture Partners, and Lux Capital. Fiddler has also been widely recognised for its innovation in AI Observability, including: • Andreessen Horowitz (a16z) Data50 – 2022, • CB Insights AI 100 – 2021, • World Economic Forum Technology Pioneer – 2020, • Forbes AI 50 – 2020, • Gartner Cool Vendor in Enterprise AI Governance – 2019 The Opportunity- Fiddler, is looking to hire an Enterprise Account Executive to help drive the company’s continued growth within enterprise markets. This role focuses on developing strategic relationships with enterprise customers, identifying complex AI and machine learning challenges, and positioning Fiddler’s platform as a trusted solution. The successful candidate will be responsible for translating technical product capabilities into clear business value for senior stakeholders. What You’ll Be Responsible For- • Driving new revenue by prospecting, developing relationships, and closing enterprise deals with key decision-makers., • Building awareness of Fiddler’s platform within target accounts and territories, identifying strategic opportunities for growth., • Managing complex enterprise sales cycles involving multiple stakeholders, procurement processes, and budgets., • Understanding customer challenges related to AI models and demonstrating how the Fiddler platform addresses those needs., • Articulating clear business value propositions and differentiating Fiddler from competing solutions., • Developing and executing go-to-market strategies to generate pipeline and accelerate demand., • Consistently achieving or exceeding pipeline, activity, and revenue targets., • Operating independently with strong ownership and accountability., • Collaborating with internal teams to support broader company growth., • Traveling as required (approximately 10–25%). What We are Looking For- • 5+ years of enterprise or outside sales experience, • Experience selling within Data, Big Data, Machine Learning, or AI environments, • Proven ability to sell technical solutions to technical audiences, including developers and data scientists, • Strong understanding of Machine Learning or Artificial Intelligence concepts, • Experience with cloud and enterprise technology environments, • Knowledge of MLOps and AI model governance (desirable), • Experience targeting financial services organizations is beneficial

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Title: AI Software Engineer Compensation: $180,000 - $250,000 + significant equity Location: Full-time onsite in San Francisco This high-growth, venture-backed startup is rebuilding the foundation of a massive, legacy industry using fully autonomous, multimodal AI agents. Focused on a $300B+ market, the company is automating complex, real-world workflows end-to-end with a combination of computer vision, LLM reasoning, and scalable backend infrastructure. Backed by top-tier investors, the company has already reached high seven-figure ARR and is growing 50% month-over-month, with enterprise customers including globally recognized technology companies. About the Role: This is a high-impact opportunity for a backend engineer to join as an early member of a deeply technical, high-performance team. You'll work on the core systems powering autonomous AI agents in production, owning infrastructure, system design, and scaling challenges from day one. The environment is highly agentic, with strong ownership and minimal oversight, offering a clear path to leadership as the team grows. What You'll Do: • Build and scale backend systems powering autonomous AI workflows, • Design and own APIs, databases, and distributed system architecture, • Work across multimodal AI systems, including computer vision, OCR, telematics, and LLM-based reasoning, • Ship production code immediately and take full ownership of deployed systems, • Scale infrastructure to handle real-world enterprise workloads and improve system throughput, • Define technical direction and drive projects end-to-end in a highly autonomous environment, • Collaborate closely with senior engineers and technical leadership What You'll Bring • Ample backend engineering experience (Python preferred), • Strong computer science fundamentals with clear signals of excellence, • Experience in high-performance environments (e.g. HFT, top startups, or strong big tech teams), • Track record of building and shipping production systems, • Experience with distributed systems, APIs, and cloud infrastructure (AWS or GCP), • Familiarity with Docker, Postgres, and modern data systems (e.g. vector databases), • High agency with a strong builder mindset (founder experience, side projects, or rapid growth) Tech Stack: • Python, • Distributed systems and backend infrastructure, • Cloud: AWS or GCP, • Databases: Postgres, vector databases, • Containerization: Docker, • Multimodal AI systems (CV, OCR, LLMs) Why Join? • Join as an early engineer at a company with significant upside and strong product-market fit, • Work on technically complex problems at the intersection of AI, infrastructure, and real-world systems, • Be part of a high-talent-density team with backgrounds in quant, AI, and top-tier engineering environments, • Own critical systems, not incremental features, • Operate in a fast-moving, high-intensity environment with real impact on production systems About People In AI: People In AI connects top-tier talent with the most ambitious companies in artificial intelligence. We work with founders, VCs, and engineering leaders to build world-class teams shaping the future of machine learning and AI infrastructure.

Lead Machine Learning Engineer.

Senior Machine Learning Engineer - 3D Generative AI ??.

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About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration,

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