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Job DescriptionBenefits: • 401(k), • 401(k) matching, • Bonus based on performance, • Competitive salary, • Dental insurance, • Employee discounts, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development, • Vision insurance WAGE RANGE: $70,304-$80,304 PER YEAR SALARY The Resale Revolution Starts With You! Every great team is led by an inspired and passionate leader. As a Store Manager, you will oversee store operations and bring our brand promise to life: to offer a fun, fashion-centered, and affordable shopping experience to our communities. Store Managers are committed to helping drive Crossroads' values- creating an inclusive environment where all feel welcome to enjoy a second-hand shopping and selling experience. When you join Crossroads, you are joining the sustainable fashion movement and reshaping fashion culture. And you arent just impacting the planets future- you are impacting your own. • Youll learn how to run a second-hand business youll embody an entrepreneurial spirit- learning everything from buying, merchandising and inventory practices to gaining and maintaining the trust of a customer base who has been devoted since day one.Minimum Requirements:, • Prior experience in retail management as a Lead Manager managing a team of 15+ employees (2 years+), • Extensive fashion knowledge including familiarity with labels, brands, designers and current trends., • Must be able to work a minimum of 40 hours per week., • Must be authorized to work in the United States.You are:, • Hands-on. The ideal Crossroads manager loves being on the sales floor to motivate, coach, and help their team succeed!, • A Talent Scout. You are able to recognize, draw in, and motivate talented individuals to your team., • Emotionally Intelligent. You would describe yourself as resilient, a great communicator, and exceptional at team-building., • Authentic. You are your unique self! Youll enjoy working with our diverse teams and leaders, who care about fostering an environment of development, creativity, and authenticity., • Fashion-focused. You eat, breathe, and sleep style. Fashion is life., • Adaptable. You feel comfortable adjusting to changing circumstances and encourage your teammates to do the same. We problem-solve together!, • People-first. You are energized by people. You radiate kindness and positivity! You understand your impact and are someone who uplifts others., • A Trainer. You enjoy explaining how things work and have patience when teaching others., • Business-minded. Youll develop business strategies to grow your customer base, increase store traffic and optimize sales. You will: • Engage. You get to meet new people, every day! Lead by example greeting each customer with a smile and welcome them to our store. Create a welcoming, fun, and inclusive environment to shop and work in., • Prioritize + Delegate. There will be a lot coming your way from running breaks to noticing lines- youll need to use your team to get everything done and run the store like a well-oiled machine!, • Be Customer-focused. You will guide your team to help customers learn how we work and try selling to us! Each customer has different needs and its up to your team to help them out., • Be a Mentor and Coach. Youll guide your team members in developing their skills using our training tools and growth plans. Your goal is to support your team!, • Be Transparent. Have clear and consistent communication with your manager - partnership is a cornerstone of our leadership philosophy- two heads are better than one!, • Be a Problem-solver. You enjoy finding creative ways to enhance customer experience, employee engagement and overall store performance., • Have Integrity. You will act with integrity in words and actions- do the right thing and do it right, even when its difficult., • Be Compassionate. You will embody our core values of service, inclusion, and education. Its important that we connect with all customers and try our best to help them., • Be Reliable. You will show up to work on time and ready to go!, • Be Flexible. You understand that needs change and evolve throughout the day- you know how to support your team and customer as needed. Perks Health + Wellbeing We will: • Support your physical + mental health. We care about our employees wellbeing and offer a mental health day in addition to sick PTO., • Prioritize wellness for all. We offer medical, dental, and vision insurance for ALL employees who work at least 20 hours a week!Work/Life Harmony We will: • Encourage you to live your best life by taking vacation time!, • Offer you a set schedule with Sundays and Mondays off., • Give you time to enjoy the holidays. You will receive 6 paid holidays per year., • Encourage work/life balance. We offer flexible scheduling so that you can meet work & life needs!Financial Health We will: • Contribute to your 401(k). Free money? Well match up to 4% of your contribution as soon as you enroll and an additional discretionary 2% at year's-end! We offer both a Roth and traditional 401(k)., • Reward you with a quarterly bonus based on your performance., • Offer a generous discount on all merchandise including luxury consignment pieces- shop where you work!, • Be Transparent. We have clear pay ranges and always advertise pay for positions. We believe in pay equity., • Offer Earned Wage Access. Need money before payday? Youll be able to access pay as you earn it through our partner app ZayZoon, • Contribute to Commuter Benefits. Take public transit? Well contribute and match a portion of your commuter account monthly.Growth + Development We will: • Create a community with you. Youll travel twice a year to meet with your peers in-person to learn, celebrate, and collaborate with other leaders., • Empower you. Our Employee Resource Group (ERG) gives you a seat (and a voice) at the table. They meet monthly to discuss how we can shape the company through a diverse lens and meet our DEI commitments., • Let you take the lead. We offer clear paths for growth and ongoing professional development that are straightforward and attainable., • Celebrate with you. Well provide you with many opportunities to bond with your team as you celebrate successes together., • Equip you with the tools to be successful. As you onboard & throughout your career, our training programs will set you up to win. About Crossroads One of the first companies to pioneer secondhand clothing as an alternative to traditional retail, Crossroads Trading has been buying, selling, and consigning name brand and designer clothing in a friendly, fun, and fashionable atmosphere since 1991. Since opening the doors of its first location in the heart of San Franciscos Fillmore District, Crossroads has expanded over time to 38 retail locations spanning Northern and Southern California, Chicago, Seattle, Portland, Denver, New York, and Houston. And in recent years, we have added Sell-By-Mail and Concierge programs to provide convenient new ways for fashionable and eco-conscious customers to sell their gently used clothing. Crossroads has been featured in Harpers Bazaar, Teen Vogue, and LA Mag, and is widely recognized as an industry leader in the resale revolution. If you like sustainability, fashion, and working in a fun, positive environment, youll enjoy a career with us! #HP123

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Competitive salary, • Dental insurance, • Employee discounts, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development, • Vision insurance WAGE RANGE: $23.00-$26.00 PER HOUR The Resale Revolution Starts With You! Every great team is led by a great leader. As an Assistant Manager, you will assist the Store Manager with day-to-day operations and bring our brand promise to life: to offer a fun, fashion-centered, and affordable shopping experience to our communities. Assistant Managers help drive Crossroads' values- creating an inclusive environment where all feel welcome to enjoy a second-hand shopping and selling experience. Minimum Requirements: Prior experience in retail management (1 year+) Have a good eye for fashion and current trends. Must be able to work a minimum of 31 hours per week. Must be authorized to work in the United States. What Youll Do: When you join Crossroads, you are joining the sustainable fashion movement and reshaping fashion culture. And you arent just impacting the planets future- you are impacting your own. • We have clear paths for promotion and several routes you can take as you embark on your second-hand management journey., • Youll learn how to run a second-hand business youll embody an entrepreneurial spirit- learning everything from buying, merchandising and inventory practices to gaining and maintaining the trust of a customer base who has been devoted since day one.You are:, • A Team Player. You are as enthusiastic about the success of others as you are about your own success., • Authentic. You are your unique self!, • Fashion-focused. You eat, breathe, and sleep style. Fashion is life., • Adaptable. You feel comfortable adjusting to changing circumstances and encourage your teammates to do the same. We problem-solve together!, • People-first. You are energized by people. You radiate kindness and positivity! You understand your impact and are someone who uplifts others., • A Trainer. You enjoy explaining how things work and have patience when teaching others.You will:, • Engage. You get to meet new people, every day! Lead by examplegreet each customer with a smile and welcome them to our store. Create a welcoming, fun, and inclusive environment to shop and work in., • Prioritize + Delegate. There will be a lot coming your way from running breaks to noticing lines- youll need to use your team to get everything done and run the store like a well-oiled machine!, • Be Customer-focused. You will guide your team to help customers learn how we work and try selling! Each customer has different needs and its up to your team to help them out., • Be a Mentor and Coach. Youll guide your team members in developing their skills using our training tools and growth plans. Your goal is to support your team!, • Be Transparent. You will have clear and consistent communication with your manager. Partnership is a cornerstone of our leadership philosophy- two heads are better than one! We all bring unique perspectives to problem-solving!, • Have Integrity. You will act with integrity in words and actions- do the right thing and do it right, even when its difficult., • Be Compassionate. You will embody our core values of service, inclusion, and education. Its important that we connect with all customers and try our best to help them., • Be Reliable. You will show up to work on time and ready to go!, • Be Flexible. You understand that needs change and evolve throughout the day-you know how to support your team and customer as needed. Perks Health + Wellbeing We will: • Support your physical + mental health. We care about our employees wellbeing and offer a mental health day in addition to sick PTO., • Prioritize wellness for all. We offer medical, dental, and vision insurance for ALL employees who work at least 20 hours a week!Work/Life Harmony We will: • Encourage you to live your best life by taking vacation time!, • Offer you a set schedule with 2 consecutive days off., • Give you incentives when you work during the holidays. We give you overtime pay for select holidays throughout the year, and are closed on Thanksgiving and Christmas., • Encourage work/life balance. We offer flexible scheduling so that you can meet work & life needs!Financial Health We will: • Contribute to your 401(k). Free money? Well match up to 6% of your contribution as soon as you are eligible! We offer both a Roth and traditional 401(k)., • Offer a generous discount on all merchandise including luxury consignment pieces- shop where you work!, • Be Transparent. We have clear pay ranges and always advertise pay for positions. We believe in pay equity., • Offer Earned Wage Access. Need money before payday? Youll be able to access pay as you earn it through our partner app ZayZoon, • Contribute to Commuter Benefits. Take public transit? Well contribute and match a portion of your commuter account monthly.Growth + Development We will: • Empower you. Our Employee Resource Group (ERG) gives you a seat (and a voice) at the table. Employees meet monthly to discuss shaping the company through a diverse lens and meeting DEI commitments., • Let you take the lead. We offer clear paths for growth and ongoing professional development that are straightforward and attainable., • Celebrate with you. Well provide you with many opportunities to bond with your team as you celebrate successes together., • Equip you with the tools to be successful. As you onboard & throughout your career, our training programs will set you up to win. About Crossroads One of the first companies to pioneer secondhand clothing as an alternative to traditional retail, Crossroads Trading has been buying, selling, and consigning name brand and designer clothing in a friendly, fun, and fashionable atmosphere since 1991. Since opening the doors of its first location in the heart of San Franciscos Fillmore District, Crossroads has expanded over time to 39 retail locations spanning Northern and Southern California, Chicago, Seattle, Portland, Denver, New York, Houston, and Dallas. And in recent years, we have added Sell-By-Mail and Concierge programs to provide convenient new ways for fashionable and eco-conscious customers to sell their gently used clothing. Crossroads has been featured in Harpers Bazaar, Teen Vogue, and LA Mag, and is widely recognized as an industry leader in the resale revolution. If you like sustainability, fashion, and working in a fun, positive environment, youll enjoy a career with us! #HP123

Job Description Position Summary The Chief AI Growth Officer (CAIGO) is responsible for driving the execution of the company's strategy through the application of artificial intelligence across product, marketing, customer acquisition, channel expansion, revenue generation, retention, operations, product innovation, and automation. The role is responsible for architecting, building and leading AI-driven business acceleration across all functions. The company operates an AI native mobility platform with a marketplace for recreational and travel assets, called “Outdoorsy”, a marketplace for Autos, EVs and AVs called “Ride”, an AI insurance platform marketed under the brand “Roamly”, and a vertically integrated SaaS mobility management system called “Wheelbase” and an AI innovation lab called “Roamly Labs”. This executive combines the responsibilities of customer acquisition, growth leadership, AI transformation, product strategy, and operational scaling. The role sits at the intersection of revenue, data, marketing, product, sales, engineering, and customer experience. The CAIGO reports to the CEO and partners with the executive leadership team to build, and operationalize AI-native growth systems that create a durable competitive advantage. Hybrid/Onsite in Austin, Texas or Bay Area, CA (preferred) Requirements Core Responsibilities: AI-Driven Growth Strategy • Develop and execute the company’s AI-powered growth strategy., • Create opportunities where AI can improve:, • Customer acquisition, • Conversion rates, • Retention, • Marketplace liquidity, • Pricing optimization, • Sales productivity, • Operational efficiency, • Embedding and distribution, • Opening of new channels, • Build scalable AI-enabled growth loops across the organization. Revenue & Go-to-Market Optimization • Apply AI to improve:, • Demand generation, • Personalization, • Lead scoring, • Sales automation, • Customer segmentation, • Dynamic pricing, • Revenue forecasting, • Oversee AI-enhanced growth channels, including:, • Lifecycle marketing, • SEO/content automation, • Paid acquisition optimization, • Conversational commerce, • AI agents for sales and support AI Product & Platform Innovation • Partner with Product and Engineering to launch AI-native experiences., • Drive development of:, • Recommendation systems, • Predictive analytics, • AI copilots, • Voice and conversational interfaces, • Autonomous workflow systems, • Marketplace intelligence tools, • Evaluate emerging AI technologies and vendor ecosystems. Data & Experimentation • Build a rigorous culture of experimentation using Agentic systems and tools., • Establish metrics and KPI frameworks for:, • Growth efficiency, • Model performance, • Acquisition and channel optimization, • Embedding, Retention and LTV, • AI adoption across all functions, • Leverage first-party data to create defensible growth advantages. Operational Automation • Identify opportunities to reduce operational costs through AI automation., • Implement AI systems across:, • Customer acquisition growth throughout marketing operations, • Internal productivity, • Customer support, • Claims and underwriting workflows, • Finance and reporting, • Drive organizational productivity improvements using Agentic systems Cross-Functional Leadership • Align Growth, Product, Data, Engineering, Marketing, and Operations teams around AI initiatives., • Create governance frameworks for responsible AI deployment., • Train and lead executives and the board on AI strategy and competitive implications. Key Metrics Owned • Customer acquisition and retention, • Channels, partnerships and embedding distribution, • AI-driven Cost Savings, • Automation Efficiency Gains, • AI Native Product development, • Marketing Efficiency Ratio (MER), • Marketplace Liquidity Metrics, • Experiment Velocity, • Forecast Accuracy Qualifications: • 4+ years in growth, product, AI, marketplace, or digital transformation leadership roles., • Demonstrated experience scaling high-growth technology businesses., • Deep understanding of:, • Generative AI, • Machine learning systems, • AI agents and automation, • Growth marketing, • Data analytics, • Marketplace dynamics, • Experience leading growth functions and teams., • Hard-core operational and analytical rigor., • Ability to communicate technical AI concepts to non-technical stakeholders. Preferred Background • Agentic systems, Marketplace, SaaS, fintech, mobility, travel, or insurtech experience, • Experience implementing AI at enterprise scale, • Familiarity with:, • LLM infrastructure, • Agentic workflows, • Vector databases, • Growth automation platforms, • Data warehouses and BI tools Benefits Why You’ll Love Working Here • Competitive Compensation: Competitive base salary commensurate with experience., • Growth Opportunity: Architect a world-first protocol for the largest disruption in the history of insurance., • Ground Zero of Autonomy: Work from our Austin HQ, the global hub of the autonomous revolution., • Comprehensive Benefits: (Standard Outdoorsy Group benefits apply, including 100% paid medical and flexible PTO)., • Work-Life Balance: Enjoy RV rental discounts and a culture that values the very outdoor lifestyle we enable.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary: e.l.f. Beauty is looking for a digital insights rockstar to join our dynamic, fast-paced, high-growth company. The ideal candidate will have a strong background in data analytics, digital marketing, and ecommerce performance, with a consumer first mindset. This person is highly self-motivated, curious, and strategic yet detail-oriented, with a passion for analyzing data, surfacing insights, and storytelling with data to drive business decisions. This person also has the technical skills associated with querying large data sets and extracting and synthesizing data and insights from disparate data sources and analytics tools. The position will report directly to the Assistant Vice President, Market & Business Insights. The Associate Director, Digital Insights & Analytics will build rigorous measurement frameworks and deeply analyze the digital consumer by institutionalizing standardized journey, behavior, and campaign performance models that optimize our online experience and drive conversions. The role will drive predictive analytics to propose high-impact audience targeting strategies for segmentation and personalization—including propensity modeling, next-best-action, and lifetime value frameworks—to enhance acquisition, retention, and conversion outcomes. This role will be responsible for the aggregating and sharing of digital learnings across brands across paid, owned, and CRM channels, and will translate complex analyses into concise, visually compelling executive-ready decks, dashboards, and story-driven narratives that clearly articulate the “so what,” escalate recommended actions with owners and timelines, and enforce cross-functional accountability through a continuous test–learn–scale cadence that reduces friction, improves incrementality, and aligns teams to north-star metrics for sustainable, profitable growth. The position requires strong partnerships and excellent communication with E-commerce, CRM, IMC, Creative, and Technology business leaders and cross-functional partners, as well as external vendors. This position can be based in any of our e.l.f. offices (NYC, Oakland, CA or LA) within the US.Responsibilities: • Build end-to-end measurement frameworks for digital journeys and behavior across channels, defining stage KPIs, event instrumentation, and north-star metrics to pinpoint friction and drive conversion., • Aggregate and share cross-brand digital learnings via standardized playbooks, taxonomies, and reporting cadences; align stakeholders on common KPIs and data quality for scalable, data-driven decisions., • Deliver marketing mix modeling and attribution within a disciplined framework—set inputs and governance, validate incrementality, and integrate outputs into planning to optimize budgets and channel performance., • Drive the integration, operationalization, and scaling of AI platforms and capabilities across the market & business analytics stack—including adoption of machine learning and generative AI for digital consumer segmentation, experimentation, and insight automation to accelerate decision-making and business impact., • Support measurement and optimization of A/B and multivariate tests to improve website and mobile experiences, increase conversion rates, and reduce drop-off across key funnel stages, • Lead predictive analytics initiatives and build advanced audience strategies (e.g., lookalikes, churn risk segments, product affinities, propensity) to power targeted media, onsite personalization, and lifecycle communications., • Create executive-caliber visual storytelling artifacts—decks, dashboards, and one-page syntheses—that crystallize digital insights, quantify impact, and escalate actions to drive cross-functional accountability., • Analyze performance against north-star KPIs aligned to broader business goals (conversion, retention, LTV, CAC:LTV), providing actionable insights and variance explanations., • Manage external analytics partners and tools, ensuring deliverables align to business priorities and performance targets; assess competitive landscape and data/analytics advancements to inform best practices and innovation opportunities., • Partner with technology teams to improve instrumentation, data quality, and integration of tools, methods, and processes that support scalable, reproducible analytics.Requirements:, • 8+ years of experience with relevant web/mobile analytics reporting and analysis. 8+ years of experience as a Marketing Data Analyst or similar role, with a focus on ecommerce and digital marketing analytics., • Bachelor’s degree (or MBA) in Business Analytics, Data Analytics, Marketing, Mathematics, Statistics, or related quantitative field, • Outstanding analytical, critical thinking, and organizational skills with high attention to detail. Ability to focus on both strategy and execution., • Deep understanding of marketing metrics, attribution models, and campaign performance measurement, with the ability to provide strategic recommendations., • Experience in developing/maintaining analytics dashboards and developing/maintaining reporting tools for self-serve reporting., • Passionate about customer-centricity and data-driven strategy, with the ability to effectively communicate and influence key stakeholders., • Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations., • Excellent written and verbal communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse stakeholders., • Experience in defining metrics and KPIs, visualizing and presenting results, and tying insights back into business strategies and goals., • Advanced SQL experience, • Expertise with web analytics tools, including Google Analytics (GA4 a plus), ContentSquare, Dynamic Yield, Similarweb, Semrush etc., • Experience with CRM management tools, customer data platforms (Hightouch, etc.), • Experience with data visualization tools (Tableau, Power BI, etc.), • Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook), • Curious, inquisitive, proactive, and interested in digging for insights in data, as well as learning new tools and techniques., • A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact., • Ability to work effectively in a fast-paced, team environment., • Proficiency with more advanced statistical modeling techniques is a bonus (e.g. clustering, classification, segmentation, multiple regression, etc.).The base salary range for this role is listed above. Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications. Compensation components are subject to change at the company’s discretion This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company. Data Strategy & Key Datasets • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Partner with merchant-facing teams to develop external analytics products and insights that deepen Trustly’s value proposition with key partners and enterprise clients. Machine Learning & Artificial Intelligence • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Stay current with the rapidly evolving AI/ML landscape and translate emerging capabilities into concrete business opportunities for Trustly. Leadership & Cross-Functional Partnership • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience., • Experience with pre-IPO data program build-out and supporting data-related due diligence. Applications for this role are accepted on an ongoing basis. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP, • Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Application Deadline: 05/29/2026 Address: 180 Montgomery St. Job Family Group: Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive end‑to‑end delivery of Data & AI solutions—from problem framing and data acquisition to model development, deployment, and ongoing optimization—while influencing stakeholders across the organization. Key Responsibilities Model Development & Delivery • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact., • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement., • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations., • Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines. Business Impact & Storytelling • Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels., • Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders., • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy. Innovation & Best Practices • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets., • Establish and promote best practices in model development, MLOps, governance, and data quality., • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization. Leadership & Collaboration • Serve as a subject matter expert for stakeholders across the enterprise., • Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale., • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision., • Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing. Execution & Change Leadership • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques., • Lead change management and communication efforts associated with analytics initiatives., • Implement processes and controls that ensure high‑quality, consistent delivery of analytical work. Qualifications • 7+ years of relevant experience in data science, machine learning, or applied analytics., • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience., • Proven track record of shipping models to production and maintaining them at scale., • Expertise in machine learning and deep learning algorithms and frameworks., • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus., • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.)., • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups., • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems., • Experienced collaborator with deep cross-functional partnership skills and ownership mindset. Salary: $122,400.00 - $228,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: _ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at _ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to _ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the student debt program, and education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position is an onsite opportunity in the Abbott Diabetes Care Division. We are helping people with Diabetes lead healthier, happier lives. As a global leader in diabetes care, Abbott is constantly working to deliver the highest quality products and unwavering support to our customers. Consistent and accurate glucose monitoring is the foundation of any diabetes management plan, so we’re committed to continuous improvement in the way patients and professionals measure, track and analyze glucose levels. As a Manager, Forecasting and Business Insights, you will be responsible in supporting the business objectives of senior leadership and other business partners by developing and managing forecasting models as well as bridging insights and analyses to actionable strategy. The F&BI Manager will take a leadership role in driving market planning activities in collaboration with cross-functional stakeholders to inform decision making. He/she will work cross-functionally with commercial leadership, finance, marketing, market access, and sales. This is an onsite opportunity in Alameda, CA. What You’ll Do • Forecasting: Leverages market knowledge, primary and secondary data, and KPIs to develop short-term and long-term forecasts, commercial opportunity assessments, and uncertainty analyses. Performs Bottom-up and Top-down forecasting to support short-term forecasting and long-range plan processes. Develops robust market model projections and scenarios in collaboration with business partners., • Strategic Insights and Analytics: Proactively provides recommendations to support market strategies and business investment decisions. Provides business and finance teams with analysis that yields actionable insights that support increasing market share, sales and margin. Supports data analytics team in bridging forecast assumptions to actual performance. Structures analyses around ambiguous problems and manage multiple projects. Generate fact-based data and financial insights and combine quantitative data analysis with qualitative market research insights to solve business problems and create business opportunities. Ensure accuracy and proactive communication of analyses, strategic recommendations, and other deliverables., • Market and Competitive Insights: Identify market trends and growth drivers by utilizing both internal and external data sources to define their impact on the forecast in partnership with the Competitive Insights teams., • Internal and Field Stakeholder Management: Effectively communicate and partner with internal and external stakeholders to gain agreement on the forecast, business objectives and the action plan to achieve them, • Process: Builds and establishes Forecast Center of Excellence. Consistently implements all forecasting and analytical protocols, procedures, and standards in a timely manner. Investigates data enhancements and discrepancies across forecasting and data analytics teams. Advances Machine Learning forecast and forecasting tools., • Teamwork and Collaboration: Contribute to the team’s performance, actively collaborate within and beyond the team to design and ensure buy-in around solutions, • Leadership: Support an environment of candor; takes accountability Experience You’ll Bring Required • BA or BS degree required, • Minimum 7 years of experience, • Advanced knowledge of Excel models and in market BI tools, • Possesses strong business acumen and interpersonal skills, • Strong executive presence and analytical, quantitative, and communication skills Preferred • MBA or Masters is preferred, • 3+ years of forecasting experience incl. market and strategic planning and data analytics, • Experience with ML/AI forecasting and predictive modelling, • Marketing science/secondary data analytics/strategic management consulting experience _ Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: _ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal. Divisional Information Medical Devices General Medical Devices: Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. CRM As a global leader in Cardiac Rhythm Technologies, we focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats. Diabetes We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. Vascular Abbott Vascular provides innovative, minimally invasive, and cost-effective products for treatment of vascular disease. Neuromodulation Our Neuromodulation business includes implantable devices compatible with mobile technology to help people who suffer from chronic pain and movement disorders. These non-opioid therapies allow us to provide interventional pain therapy to patients throughout the pain continuum. Structural Heart Structural Heart Business Mission: why we exist Our business purpose is to restore health and improve quality of life through the design and provision of device and management solutions for the treatment of structural heart disease. EP In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives. HF In Abbott’s Heart Failure (HF) business, we’re developing solutions to diagnose, monitor and manage heart failure, allowing people to restore their health and get on with their lives. Diagnostics We’re empowering smarter medical and economic decision making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott’s diagnostics instruments, providing lab results for millions of people. Abbott Molecular is a leader in molecular diagnostics and the analysis of DNA, RNA, and proteins at the molecular level. Our Point of Care diagnostic portfolio spans key heath and therapeutic areas, including infections disease, cardiometabolic, informatics and toxicology. Our diagnostic solutions are used in hospitals, laboratories and clinics around the globe. The crucial information derived from our tests, instruments and informatics systems are often the first step in patient care decision making for hundreds of health conditions from heart attacks to blood disorders to infectious diseases and cancers. Our rapid diagnostics solutions are helping address some of the world’s greatest healthcare challenges. Nutrition Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna® – to help them get the nutrients they need to live their healthiest lives. The base pay for this position is $114,000.00 – $228,000.00. In specific locations, the pay range may vary from the range posted.

Job DescriptionDescription: OPEN HOUSE THURSDAY AUGUST 21ST 11AM-4PM 62 Chelsea Piers Pier 62, New York, NY 10011 Summary/Objective: The Service Professional is responsible for setting the tone in the café by providing an exceptional hospitality experience and following Bluestone Lane’s Steps of Service at all times. They are responsible for educating guests about the premium nature of Bluestone Lane menu items, anticipating guests’ needs, and maintaining friendly, engaging, and individualized service. They play a variety of roles throughout the day in the cafe: host, server, and barista. They promote the values, culture & purpose of Bluestone Lane based on our Key Success Factors: Human Connection, Premium Broad Product, Spend Through Service, and Beautiful Spaces. Essential Functions: Human Connection: Welcomes the guest with a smile & explains the Bluestone Lane dining experience Builds strong connection with guests and makes them feel appreciated by learning names and creating a personal connection with them to build repeat business and create a daily escape Guides guests on how to download & order from the app, can upsell & excite about rewards & loyalty Contributes positively to the team environment, working cohesively with one another to deliver exceptional experiences to guests Premium Broad Product: Deep understanding of the menu in order to educate and excite guest about food & beverage options Holds highest standards of coffee/beverage quality and processes as gatekeeper for café Spend through Service: Service tables with focus on upselling food & beverage. Keen eye to refill beverage at right time Work closely with back of house teammates to ensure accurate & efficient order placement to achieve food placement within 12 minutes of ordering Provides quality product with speed and accuracy Beautiful Spaces: Participates in daily, weekly and monthly cleaning practices Maintains an organized and clean working environment Ensures coffee bar equipment and tools are always clean and fully functioning Completes store opening and closing procedures accurately and efficiently Always maintains grooming & uniform guidelines This is not an all-inclusive list of job-related responsibilities, duties, skills, efforts, requirements or working conditions. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned. Skills, Knowledge & Experience: 2+ years experience working in a full-service restaurant Have a passion for providing great service & making others happy A team player and enjoys working on a team to achieve great performance Ability to work in a high demand, fast paced environment Ability to stand for extended periods and lift up to 40lbs DOH Accreditation and/or ServSafe Certified a plus Working Environment: This position operates in a kitchen environment with equipment such as an oven, stove, dishwasher, slicer, coffee machine, steamer, mixer and chef’s knives. The employee is frequently exposed to heat, steam, fire and noise. The position occasionally requires the team member to sit, stand, reach, lift, bend, kneel, stoop, climb, push and pull items weighing 40 pounds or less. The position requires manual dexterity; auditory and visual skills; and the ability to follow written and oral instructions and procedures. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Authorization Requirements: Able to work in the US Requirements:

Job DescriptionA Bit About Us We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful. The Opportunity We're seeking an Executive Operations lead for the Office of the CSO at either the Associate or Director level. They will report directly to our Chief Scientific Officer, Prachee Avasthi, and support her across her full work portfolio. Prachee’s portfolio includes a wide array of efforts, including Arcadia's research and scientific vision, spearheading open science at Astera Institute, as well as broader reform efforts for open science, research infrastructure, and the future of scientific communication. This is a critical role that is fundamentally about operational support and execution. Your primary job is to make the CSO more effective: protecting her attention, keeping work moving, and shaping complexity into clear frameworks that ease decision-making. In practice, that means starting close to the day-to-day. You will be managing her calendar, handling inbound requests, learning the people and problems that surround her. It also means jumping in wherever there's an operational gap, filling new or temporary needs as the organization or work evolves. These activities build the foundation for additional project management and strategic work that this role is ultimately meant to support. This is the right role for a scientifically trained person who has deliberately moved away from the bench and is most energized by supportive work that amplifies the science and mission that Prachee leads. Promising candidates should thrive in bringing structure to chaos and see themselves as a force multiplier that is most effective when operating behind the scenes on behalf of the team. An ideal candidate moves with a sense of urgency, has great attention to detail, and biases towards quantitative thinking. They should be excited to leverage cutting edge AI tools to generate nimble data-driven processes, improve communication, and enhance the quality of concrete deliverables. They will ultimately be responsible for building and managing a suite of agents that constitute the core executive operations team for the CSO. This role is open at two levels depending on incoming operational and scientific experience: Associate, Office of the CSO ($135–160K) • Has the ability to own the foundation-building phase (see below) but is newer to this kind of role, • Expected to grow into the full scope of the role within 12–18 months. Compensation and title adjustments will be concomitant with scope expansion. Director, Office of the CSO ($160–200K) • Has direct experience across both foundation-building and strategic operations (see below)., • Expected to own the full scope of the role within the first 3 months.The position is full-time and on-site at our Emeryville, California headquarters.What You'll Do Foundation-building Phase • Own the CSO's calendar in partnership with her executive assistant, optimizing for strategic focus and minimizing unnecessary context-switching., • Serve as the primary intake point for inbound requests, issues, and proposals: filter, synthesize, and route appropriately so the right things reach the CSO at the right time., • Handle logistics and first-pass screening for external engagements, candidate interactions, and inbound inquiries, with a clear understanding of scope and representation., • Build situational awareness by engaging with leaders across the CSO's cross-organization network, ensuring they have consistent visibility into collaborative work without important things falling through the cracks., • Increase ease and efficiency of CSO’s executive processes by deploying existing AI agents tools. Strategic Operations Phase • Help project manage scientific operations on behalf of the CSO: track progress toward goals, surface misalignments, and ensure that decisions turn into outcomes., • Translate ambiguous situations into clear decision prompts, defining the question, mapping the options, and identifying who needs to be involved., • Prepare concise written and visual materials (briefs, slides) that raise the quality of internal and external decision-making., • Lead special strategic and operational projects at the CSO's direction, with scope clearly defined and revisited as needs evolve., • Step into new or temporary gaps as they emerge, serving as a flexible operational resource wherever the organization needs coverage., • Identify targeted process improvements that reduce friction, favoring lightweight and adaptable systems over heavy or bureaucratic processes., • Continuously develop, update, and manage custom agents to assist with executive operations.Where You Are Empowered, • Creatively develop operational frameworks and processes that increase the CSO’s efficiency and ability to leverage her high-level strategic capabilities., • Make operational decisions that keep work moving, with clear alignment on scope and authority., • Act independently on previously scoped matters with transparent follow-up, and escalate high-stakes matters early with clear framing., • Say "no," absorb, or redirect requests to protect the CSO's attention and focus., • Proactively identify gaps or opportunities to improve outputs or workflows.Required, • PhD in the life sciences with direct research experience within the last five years., • Scientific fluency across a broad range of biology, sufficient to engage meaningfully with working scientists., • Demonstrated operational judgment and at least one year of hands-on project management or execution-heavy experience., • Strong written and verbal communication skills., • The maturity to approach high level or sensitive matters with discretion and judgement.Preferred, • Computational experience in machine learning, computational biology, or evolutionary biology., • Comfort in fast-moving, ambiguous environments and matching that with lean, nimble processes., • A genuine passion for open science and some familiarity with the landscape., • An early-riser that, by default, acts with urgency. Please submit a resume and fully answer all application questions addressing your interest in and qualifications for the position. The review process will involve in-person interviews and a short, practical work test. Employment offers are contingent on reference and background checks.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Strategy & Management Consulting Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy. A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions. Job Description We’re looking for an AI Transformation Consultant to help organizations rethink how work gets done using generative AI, automation, and agent-based workflows. In this role, you’ll work closely with business and technology leaders to identify high-impact opportunities for AI, rapidly prototype solutions, and help scale AI-enabled ways of working across the enterprise. You’ll operate at the intersection of strategy, operations, and applied AI — helping clients move from experimentation to measurable business impact. This is an ideal opportunity for someone who combines structured problem solving with curiosity about emerging AI capabilities and a builder’s mindset. You should be excited by fast-moving technologies, comfortable navigating ambiguity, and motivated by solving real business problems with AI. You’ll have the opportunity to work directly with modern AI platforms and tools, including LLMs, copilots, workflow automation platforms, and agentic systems, while partnering with cross-functional teams to shape how organizations adopt AI responsibly and effectively. What You’ll Do Identify & Shape AI Opportunities • Partner with business stakeholders to identify high-impact opportunities for generative AI, automation, and AI-enabled transformation, • Translate ambiguous business challenges into practical AI use cases, workflows, and solution concepts, • Help prioritize AI initiatives based on business value, feasibility, scalability, and user impact, • Define success metrics tied to efficiency, adoption, quality, and measurable business outcomes Design & Deliver AI-Enabled Solutions • Help design, prototype, and implement AI-powered workflows and agent-driven solutions across functions such as operations, finance, sales, customer support, and enterprise services, • Structure multi-step workflows, including decision logic, orchestration, inputs/outputs, and human-in-the-loop processes, • Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment, • Evaluate emerging AI tools and platforms to identify practical enterprise applications Drive AI Transformation Execution • Support end-to-end delivery across multiple AI and transformation initiatives, • Drive execution across cross-functional teams while balancing speed, quality, and business priorities, • Help establish scalable operating models, governance approaches, and implementation best practices for enterprise AI adoption, • Navigate ambiguity and solve complex problems in fast-paced client environments Measure Impact & Optimize • Track adoption, performance, and business impact of AI-enabled solutions, • Analyze user feedback, workflow outputs, and operational metrics to continuously improve effectiveness and user experience, • Refine prompts, workflows, and operating processes to improve reliability and business outcomes, • Support the development of repeatable playbooks and scalable delivery approaches Enable Adoption & Change • Help organizations adopt new AI-enabled ways of working through training, change management, and stakeholder engagement, • Educate business teams on how to effectively and responsibly leverage AI tools and solutions, • Develop documentation, playbooks, and best practices to support scalable adoption, • Partner with legal, risk, and compliance stakeholders to support responsible AI implementation Qualifications, • 2–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology-related roles, • Bachelor’s degree required, • Experience supporting digital, data, automation, or AI-related initiatives in a consulting or enterprise environment, • Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges, • Hands-on experience experimenting with AI tools such as OpenAI, Claude, Microsoft Copilot, Gemini, or workflow automation platforms is strongly preferred, • Ability to translate business problems into structured solutions and practical implementation approaches, • Strong communication and stakeholder management skills with experience working across business and technical teams, • Product and solution-oriented mindset with a focus on driving measurable business impact, • Comfortable operating in fast-paced, evolving environments with a high degree of ownership and ambiguity, • Demonstrated curiosity for emerging AI capabilities and a willingness to continuously learn and experiment, • Experience working with enterprise systems, data platforms, CRM tools, or operational workflows is a plus, • Exposure to Agile delivery methodologies or transformation programs is preferred, • Experience in consulting, technology, financial services, or fintech industries is a plus Why Join Us • Work on real-world AI transformation initiatives across industries, • Help organizations operationalize generative AI at scale, • Collaborate with strategy, product, data, and engineering teams, • Experiment with emerging AI tools, copilots, and agent-based workflows, • Shape how enterprises adopt AI responsibly and effectively, • Join a fast-growing team focused on the future of enterprise AI transformation, • Build highly valuable experience at the intersection of business strategy and applied AI Additional Information This role does not require deep machine learning engineering expertise. However, candidates should be comfortable working closely with technical teams and actively experimenting with modern AI tools and workflows. We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation Annual Base Salary Range: $93,800 - $135,700, commensurate with experience and qualifications Annual performance based discretionary bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement LiveHealth Online virtual care Personalized support from a Well-being Coach Employee Assistance Program at no cost Free confidential counseling and emotional support services On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Research Engineer, Foundation Models About the Opportunity We are seeking a Research Engineer to help advance the next generation of large-scale AI systems. This role sits at the intersection of research and engineering, focusing on the development, training, evaluation, and deployment of state-of-the-art machine learning models. You will work across the full model lifecycle, from building large-scale datasets and training infrastructure to experimenting with new model architectures and inference techniques. This is an opportunity to contribute directly to cutting-edge work in large language models, reinforcement learning, long-context systems, and scalable AI infrastructure. Responsibilities • Develop and optimize training, evaluation, and deployment pipelines for large-scale AI models, • Improve inference efficiency, latency, and throughput across advanced model architectures, • Design and maintain research and production frameworks used for model development, • Train and scale foundation models across large distributed GPU environments, • Build and manage large-scale data processing, collection, and curation pipelines, • Create high-quality datasets to improve model performance and targeted capabilities, • Research, prototype, and benchmark novel model architectures and training approaches, • Contribute to experimentation in areas such as reinforcement learning, long-context modeling, reasoning systems, and inference optimization, • Collaborate closely with researchers and engineers to transition ideas from experimentation to production Qualifications Required • Strong software engineering and systems development experience, • Deep understanding of modern machine learning and deep learning techniques, • Experience training, fine-tuning, or evaluating large language models, • Familiarity with distributed computing and large-scale infrastructure, • Experience building and maintaining data pipelines and ETL workflows, • Ability to design experiments, analyze results, and iterate on research directions, • Strong problem-solving skills and a research-oriented mindset Preferred • Experience working with large GPU clusters and distributed training frameworks, • Background in model optimization, inference systems, or AI infrastructure, • Contributions to machine learning research, open-source projects, or published work, • Experience with reinforcement learning, long-context models, or large-scale data systems What We Value • Ownership and accountability, • Strong collaboration and communication skills, • Bias toward execution and practical problem-solving, • Intellectual curiosity and continuous learning, • High standards for technical excellence and product quality, • Ability to thrive in fast-moving, high-impact environments Compensation & Benefits • Competitive base salary and equity package, • Comprehensive medical, dental, and vision coverage, • 401(k) program with employer matching, • Flexible paid time off policy, • Relocation assistance and visa sponsorship, where applicable, • Opportunity to work alongside a highly talented and mission-driven team, • Access to cutting-edge infrastructure and research resources Keywords: Machine Learning, Artificial Intelligence, Deep Learning, Large Language Models, LLMs, Foundation Models, Generative AI, Applied AI, AI Research, Research Engineering, Model Training, Distributed Training, Pretraining, Fine-Tuning, Post-Training, Reinforcement Learning, RLHF, Reinforcement Learning from Human Feedback, Inference Optimization, Model Serving, Model Evaluation, Long Context Models, Reasoning Models, AI Infrastructure, GPU Clusters, High Performance Computing, HPC, Distributed Systems, CUDA, PyTorch, JAX, TensorFlow, Neural Networks, Transformer Models, Retrieval Augmented Generation, RAG, Synthetic Data, Data Engineering, Data Pipelines, ETL, Data Processing, Web Crawling, Data Collection, Feature Engineering, MLOps, ML Systems, Scalable Systems, Parallel Computing, Model Architecture Design, Experimentation, Research Scientists, Research Engineers, Software Engineering, Backend Engineering, Performance Optimization, Production ML, AI Agents, Agentic AI, Autonomous Systems, Prompt Engineering, Multi-Agent Systems, Vector Databases, Embeddings, Quantization, Model Compression, Infrastructure Engineering, Cloud Computing, Kubernetes, Python, C++, Open Source AI, Frontier Models, Applied Research, Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research, Machine Learning Infrastructure, AI Platform Engineering, Systems Engineering, Data Infrastructure, Production Systems, Scalable AI Systems, Research & Development, Advanced AI Systems, Emerging Technologies, Distributed Computing, GPU Optimization, AI Product Development,

About the Role: As the Hardware Lead, you will serve as the technical cornerstone driving the architecture and implementation of Reconceive’s next-generation analog MAC IP and custom memory. At Reconceive, we believe the future of AI compute relies on achieving unprecedented power and performance through architectural innovation and fundamental analog physics, rather than relying solely on brute-force digital node-scaling. In this cross-functional leadership role, you will operate seamlessly across transistor-level circuit design, physical silicon characterization, and system-level architecture. You will be responsible for the design of highly optimized custom hardware in established commercial CMOS technologies, as well as the development of robust automated pipelines that correlate empirical silicon telemetry with behavioral models for continuous, post-silicon optimization. This role will interface closely with our AI team to co-develop model training capabilities and drive the adoption of AI-enabled automation across the design lifecycle. Responsibilities: • Mixed-Signal Hardware Architecture: Architect, model, and design Reconceive’s analog MAC IP. Champion advanced Design-for-Manufacturing (DFM) practices to aggressively mitigate variation, mismatch, and parasitic challenges inherent to highly optimized mixed-signal compute., • Custom Memory Leadership: Lead the end-to-end architecture, design, and layout optimization of custom, highly efficient SRAM tailored for low-power, high-throughput AI acceleration., • Data Converter Design: Architect high-performance, ultra-low-power data converters (with a strong emphasis on SAR ADCs) and switched-capacitor circuits optimized for stringent system-level power and area constraints., • Behavioral Modeling & Algorithmic Co-Design: Build and maintain high-fidelity behavioral models of the physical hardware. Provide critical feedback to the algorithm and systems teams to guide hardware-aware exploration., • Post-Silicon Characterization & Calibration: Design robust physical characterization protocols. Develop automated data pipelines (Python/MATLAB) with support from our SW/AI team to correlate empirical silicon telemetry with behavioral models, ensuring highly accurate post-silicon predictability., • Silicon Lifecycle Ownership: Perform rigorous feasibility studies to validate performance. Oversee third-party IP integration, chip bring-up, and system-level debugging., • Mentorship & Organization Building: Guide layout teams with strict best practices for parasitic mitigation and device matching. Mentor junior engineers and assist executive leadership with strategic hiring to scale the hardware organization. Qualifications: (Note: We recognize this is a highly multi-disciplinary role. We encourage applications from "T-shaped" engineering leaders who possess world-class depth in core areas—such as Custom Memory or Analog Design—paired with a strong aptitude and desire to master surrounding domains like Python automation and AI co-design.) Minimum Qualifications: • Education & Experience: MS or Ph.D. in Electrical Engineering (or equivalent) with 10+ years of proven, hands-on industry experience. Exceptional track record as a chip lead taking complex mixed-signal/analog designs to volume production., • Foundational Analog Mastery: Deep, practical expertise in system and circuit design. Must demonstrate a first-principles mastery of device physics, variation mitigation, mismatch analysis, and rigorous DFM methodologies, with a proven track record of successful tape-outs in commercial CMOS processes., • Custom SRAM (Mandatory): Extensive, demonstrable experience in the design, layout supervision, and silicon-proven implementation of custom, high-performance SRAM arrays., • Data Converters: Deep expertise designing energy-efficient data converters (with a strong emphasis on SAR ADCs, though experience with algorithmic or pipelined topologies is highly valued) and switched-capacitor circuits., • Data & Automation Proficiency: proficiency in Python and/or MATLAB. with demonstrated ability to build automated characterization pipelines that extract, process, and correlate physical silicon data with high-level system models., • Analog & Digital Design: Extensive experience designing essential analog functions (filters, op-amps, bias circuits, oscillators) and high-speed/low-power custom digital logic., • EDA Tool Mastery: Expert-level proficiency with industry-standard IC design and verification toolchains (e.g., Cadence Virtuoso, Siemens EDA / Calibre, SPICE/FastSPICE simulators)., • Startup DNA: Ability to thrive in a fast-paced, highly ambiguous environment; willing to roll up your sleeves, wear multiple hats, and execute with urgency while laying the groundwork for a scalable hardware team., • Reliability: Strong foundational knowledge of ESD, EMIR, and device lifetime reliability problems and their practical design solutions. Preferred Qualifications: • Experience with variation-aware design and high-sigma yield analysis tools (e.g., Siemens Solido Variation Designer)., • Advanced behavioral modeling experience (e.g., Verilog-A / Verilog-AMS) for mixed-signal system verification., • Direct exposure to machine learning platforms, neural network topologies, and hardware-aware training loops.

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.

Our client is a VC-backed startup developing in vivo genetic medicines to engineer the transcriptome and genome of diseased cells. They are combining protein and nucleic acid engineering, high-throughput screening, genomics, and computational biology to build a platform for rapid development and optimization of new therapies. The Opportunity: We are seeking a Head/Snr. Director of Computational Sciences to lead our client's full computational function: software/informatics infrastructure (LIMS), embedded research informatics, bioinformatics, machine learning and scientific computing. This role manages a team of approximately six scientists and engineers, including a Sr Fellow (Informatics), a Principal Scientist, 2 Staff Scientists, and 2 Senior Scientists. The Head/Snr. Director’s highest-leverage contributions will be in driving execution across the computational stack, managing people development for the full team, and leading the infrastructure and bioinformatics functions. This person will be a technical leader across the organization—not only managing the computational team but driving improvements in experimental design and data practices across R&D, while building the software tools and infrastructure that make those improvements practical and sustainable. ML strategy is set collaboratively with the COO; the Head/Snr. Director translates that direction into team priorities while bringing their own technical depth to software systems, data architecture, and analytical rigor. This role has a clear growth trajectory toward VP/Head of Research Technology as the company scales. Primary Responsibilities: People Management & Strategic Contributions • Manage a team spanning a wide range of seniority, disciplines, and working styles; foster a culture of commitment to craft, rigor, transparency, and collaboration, • Navigate interpersonal dynamics constructively, modeling productive conflict resolution, • Build productive partnerships across the R&D organization, combining technical leadership—driving adoption of principled experimental design, standardized workflows, and computational best practices—with strong product discipline around requirements gathering, user training, and iterative delivery of tools and pipelines that scientists actually use, • Provide leadership on the evaluation and implementation of AI productivity tools across R&D, including coding agents and chat-based assistants, ensuring adoption is practical, secure, and integrated into team workflows, • Contribute to R&D strategic planning and execution; support partnership milestone deliverables and due diligence preparation Software & Informatics Infrastructure • Provide hands-on technical leadership for our client's custom LIMS and supporting software infrastructure, • Own the LIMS and infrastructure roadmap execution, with clear milestones and a structured process for capturing and prioritizing feature requests, • Collaborate with the Senior Fellow (Informatics) and other members of the LIMS team on roadmap, technical architecture decisions, and software engineering best practices, • Oversee management of cloud infrastructure (AWS), balancing cost, performance, and reliability Bioinformatics & Research Informatics • Manage bioinformatics team members, ensuring pipelines meet the quality, rigor, and turnaround requirements of therapeutic programs and platform technology development projects, • Oversee guide/primer design, sequencing analysis, off-target analysis, flow cytometry analysis automation, and genomic characterization workflows, • Elevate bioinformatics from an operational support function to a strategic contributor—identifying opportunities where analytical capabilities can shape program decisions, improve candidate selection, and strengthen the data packages that support partnership and regulatory milestones Machine Learning & Scientific Computing • Partner with the COO on ML strategy—particularly around active learning and statistical experimental design—and translate that into team execution plans, • Oversee predictive model development, data pipelines, and computational tools that support therapeutic programs and platform technology development Qualifications: • 10+ years in computational biology, bioinformatics, or research software engineering in biotech/pharma, with 4+ years managing multi-disciplinary technical teams, • Strong software engineering background: application development, database design, API architecture, cloud infrastructure (AWS preferred), • Working knowledge of ML concepts with the ability to manage ML scientists and translate strategic direction into execution; deep ML expertise is a plus but not required, • Experience with bioinformatics pipelines (amplicon, WGS, RNA-seq, or similar) and LIMS or research data platforms, • Working knowledge of AI productivity tools, including chat-based assistants and coding agents, with a perspective on how to deploy them effectively in a research software environment, • Strong communication skills with the ability to influence across technical and scientific audiences, from computational engineers to bench scientists to executive leadership, • Track record of managing and developing scientists and engineers across disciplines and seniority levels, including senior ICs Education: PhD in computational biology, bioinformatics, computer science, or related discipline with 10+ years industry experience; or MS with 14+ years. Background spanning software systems and quantitative biology strongly preferred. Preferred Qualifications: • Experience in gene therapy, gene editing, or genetic medicine development, • Direct experience developing custom LIMS or research software platforms, • Familiarity with molecular cloning and construct design workflows, NGS library preparation, and common sequencing approaches (amplicon, long-read, whole-genome), • Familiarity with active learning, Bayesian optimization, or statistical experimental design in biological engineering, • Experience in a fast-paced, resource-constrained startup environment

About the Company A high-growth, venture-backed technology business is building next-generation AI infrastructure for global tax and trade compliance. The platform combines advanced machine learning, large-scale legal interpretation, and real-time transaction processing to automate complex international indirect tax obligations across multiple jurisdictions. The business operates globally, works with some of the fastest-scaling technology companies in the world, and is expanding rapidly across areas including VAT/GST, sales tax, e-invoicing, withholding taxes, tariffs, and input tax recovery. This is a rare opportunity to join a deeply technical, product-led environment where tax expertise directly influences the development of AI systems at scale. About the Role We are looking for an experienced indirect tax professional to support the evolution of a proprietary AI-driven tax determination engine. Reporting directly into senior leadership within Tax & AI Enablement, this individual will sit at the intersection of tax, product, operations, and engineering. You will play a critical role in helping translate complex global tax legislation into structured logic and scalable operational processes that improve the quality, accuracy, and defensibility of AI-generated compliance outcomes. The role is highly cross-functional and suited to someone who enjoys solving difficult problems in fast-moving environments where there is little existing playbook. Responsibilities • Support the continuous refinement and validation of AI-generated indirect tax determinations across sales tax, and related transaction taxes, • Review complex jurisdictional tax treatments and convert technical concepts into structured logic frameworks usable by engineering and product teams, • Work closely with internal research, product, and engineering stakeholders to improve system accuracy and scalability, • Assist in maintaining and expanding internal tax knowledge frameworks covering multiple global jurisdictions, • Monitor legislative developments and assess the downstream impact on AI-driven compliance workflows, • Contribute to testing, QA processes, reconciliations, and control frameworks relating to automated tax outputs, • Provide technical feedback on edge-case scenarios, product functionality, and transaction-level determinations, • Support onboarding and guidance of more junior tax researchers and AI trainers as the function scales, • Help shape scalable approaches to areas such as e-invoicing, digital services taxation, marketplace rules, and emerging international compliance obligations Qualifications • Strong indirect tax background covering sales tax within industry, advisory, or tax technology environments, • Experience working alongside technology, product, transformation, or systems teams, • Ability to interpret complex legislation and communicate conclusions clearly to both technical and non-technical stakeholders, • Strong understanding of compliance processes, controls, reconciliations, and operational tax workflows, • Naturally detail-oriented with a high accuracy threshold, • Comfortable operating in fast-paced, ambiguous, high-growth environments, • Intellectual curiosity around AI, automation, and the future of tax technology, • International mindset and interest in global tax systems Preferred Skills • Experience within tax technology, SaaS, marketplaces, fintech, or digital-first businesses, • Exposure to AI-enabled workflows, rule engines, or automated compliance products, • Experience dealing with cross-border transaction flows and multi-jurisdictional tax analysis, • Background in process improvement, transformation, or scalable operational design Pay range and compensation package What They’re Looking For: The successful individual will likely be commercially minded, highly driven, and energized by building in environments where speed and ownership matter. This role would suit someone who enjoys operating close to decision-making, solving genuinely complex global tax problems, and helping shape how AI systems interact with real-world legislation at scale. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

About Liminal Insights Liminal’s mission is to accelerate the clean energy transition by improving the cost, quality, and reliability of battery manufacturing. We do this by providing customers with better analytics and insights during production. Our breakthrough EchoStat® platform uses ultrasound and machine learning technology to supply customers with the information needed to accelerate production ramp-up, improve productivity and reliability, and detect critical defects early. Liminal has active product evaluations with major cell manufacturers and EV OEMs, and is poised to rapidly expand its product portfolio and installed base. Our Culture and Values • We are dedicated to building a world-class, world-positive company., • We work closely on a foundation of mutual trust and informed decisions., • Our core values are trust, empathy, and curiosity., • We encourage personal growth, continuous learning, and safety., • We believe the most innovative teams are inclusive of and celebrate all forms of diversity. Role As a Senior Systems Engineer at Liminal, you will join a passionate and agile team developing next-generation ultrasonic inspection systems for advanced battery manufacturing applications. This role is strongly focused on advanced ultrasound technology development, with particular emphasis on phased array ultrasonic systems, signal processing, and system-level optimization for high-performance industrial battery inspection. You will lead R&D initiatives spanning core technology development, system architecture, customer applications, performance characterization, and next-generation product development. The ideal candidate combines deep expertise in ultrasonic systems with strong experimental, analytical, and cross-functional engineering skills. You are a hands-on engineer who enjoys diving deeply into complex system behavior and translating first-principles understanding into practical engineering solutions. You are intellectually curious, methodical, and comfortable leading open-ended technical investigations with a high level of ownership and autonomy. The ideal candidate brings both strong theoretical understanding and practical experience with real-world ultrasonic inspection systems. Responsibilities • Lead development, characterization, and validation of advanced ultrasonic inspection systems for battery manufacturing applications., • Develop deep theoretical and practical understanding of ultrasonic wave propagation, transducer behavior, acoustic coupling, and signal interpretation in complex battery structures to enable technology advancement and new inspection capabilities., • Drive the design, evaluation, and integration of core ultrasonic technologies, including phased array configurations, acquisition electronics, and coupling strategies., • Analyze large and complex ultrasonic datasets and develop advanced signal processing and imaging methodologies to improve defect detectability., • Build system- and subsystem-level models to predict inspection performance, acoustic behavior, sensitivity, throughput, repeatability, reliability and operational tradeoffs across varying customer applications and manufacturing conditions., • Design and execute rigorous experiments to validate system specifications, characterize performance limits, and support technology development throughout the full product lifecycle from concept development through production deployment and field support., • Work closely with Product Management and customers to translate inspection challenges and manufacturing requirements into measurable system-level specifications, technical requirements, and performance metrics., • Collaborate cross-functionally with Data Science, Software, and Hardware teams to validate concepts, troubleshoot complex issues, and deploy scalable, production-ready inspection systems. Minimum Requirements • Bachelor’s degree or equivalent in Physics, Electrical Engineering, Mechanical Engineering, or related field with 7+ years of relevant experience; OR Master’s degree with 5+ years; OR PhD with 2+ years of relevant experience., • Strong hands-on experience developing, characterizing, troubleshooting and optimizing ultrasonic inspection systems, preferably phased array ultrasonic systems for NDT or medical imaging applications., • Deep theoretical and practical understanding of ultrasound physics and acoustic propagation in complex media. Strong background in ultrasonic simulation and signal processing techniques. Experience correlating simulation, experimental data, and real-world system performance is highly desirable., • Experience designing, executing, and interpreting experiments to characterize and improve complex inspection or metrology systems., • Experience applying systems engineering principles to predict system performance and optimize solutions for customer applications., • Strong data analysis and programming skills (Python is preferred)., • Good communication and presentation skills with ability to work effectively across technical, commercial and leadership teams. Nice to haves • Experience with Solidworks or similar CAD programs., • Working knowledge of Linux systems., • Experience integrating inspection systems into automated manufacturing environments., • Technical proficiency in Korean. Benefits • Annual salary of $160,000 to $210,000 plus stock options, based on skill level and experience, to help you and your family build a healthy and secure future., • Group health benefits that provide support for employee well-being and preventative care, including comprehensive medical, dental, vision, and life insurance., • A retirement program that helps build future financial security through both traditional and Roth 401(k) options with employer matching., • Flexible working hours so you can be productive at the times that work best for you., • Generous time-off policy to allow you to renew and refresh through vacation, personal leave, and holidays., • For new parents, 12 weeks of fully-paid parental leave that you can take at any point during the first year. Liminal is an equal-opportunity employer. We celebrate all forms of diversity and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, please apply if this job excites you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.

Must Have Technical/Functional Skill Required Qualifications Education • Bachelor’s or master’s degree in o Geospatial Sciences / GIS o Computer Science / Engineering o Data Science or related field • Experience o 15 – 20 years of experience in GIS consulting, solution architecture, or pre-sales engineering o Proven experience building or supporting AI/ML solutions in enterprise environments. Required Technical Skills GIS & Spatial Technologies • Strong expertise in GIS platforms such as: o ESRI ArcGIS (Enterprise, Online) o Utility Network Model o FME workbench o Utility domain experience (Electric and Gas) • Experience with spatial databases (PostgreS), • Understanding of geospatial data processing and analysis AI / Machine Learning • Working knowledge of: o Machine learning models (regression, clustering, classification) o Deep learning for imagery analysis • Familiarity with frameworks / tools such as : o Python, TensorFlow, PyTorch, Scikit-learn • Experience with AI solution architecture and deployment Cloud & Data Platforms • Experience with cloud ecosystems (preferred: AWS and Azure): o AI/ML services o Data platforms • API integrations and microservices-based architectures Core Competencies • Strong client-facing and presentation skills, • Excellent problem-solving and analytical mindset, • Ability to explain complex technical concepts in simple business terms, • Strong collaboration across sales, technical, and product teams, • Strategic thinking with a focus on value-driven solutioning Roles & Responsibilities We are seeking a highly skilled GIS Solution Lead with strong expertise in Artificial Intelligence (AI) and AI-driven solutioning to support our sales and solution engineering teams. This role bridges business needs, geospatial technologies, and AI innovation, helping customers design and adopt advance spatial intelligence solutions. The ideal candidate combines technical depth in GIS platforms with hands-on experience in AI/ML technologies and excels in translating complex solutions into bus iness value during the pre-sales lifecycle. Key Responsibilities: Pre-Sales & Solutioning • Partner with client business teams to understand customer requirements and craft tailored GIS + AI solutions., • Lead technical discovery sessions, workshops, and solution design discussions., • Develop solution architectures integrating GIS, AI/ML and cloud technologies., • Lead and delivery compelling product demonstrations, POCs (proof of concepts) and prototypes, • Create technical proposals, RFP/RFI responses, and effort estimates. AI & Advanced Analytics Integration • Design and position AI-driven geospatial solutions such as: o Predictive spatial analytics o Computer vision for satellite / drone imagery o NLP for location-based insights • Integrate GIS platforms with AI frameworks, • Recommend scalable architectures leveraging cloud AI services Customer Engagement • Act as a trusted advisor to customers, influencing technology decisions, • Communicate solution value to both technical and business stakeholders, • Translate business challenges into data-driven geospatial use cases Technical Enablement • Stage current with GIS trends, AI advancements, and industry use cases, • Support internal teams with training, knowledge sharing, and best practices, • Collaborate with product and engineering teams to refine offerings

Lead the Team Building AI Technology Transforming Engineering Simulation This role sits at the center of a highly technical engineering team focused on building AI and machine learning systems that improve how complex engineering simulations are developed, tested, and deployed across industries. In this role, you will lead the technical direction of a cutting-edge product area while remaining deeply hands-on in development. You will help shape the systems, engineering standards, and technical culture behind software solving real-world physics and simulation challenges across areas like fluid dynamics, thermal systems, and structural analysis. You will work closely with researchers, engineers, and business stakeholders to translate complex engineering problems into practical machine learning solutions. The environment is highly collaborative and focused on balancing innovation with real-world execution. If you enjoy leading from the front, solving difficult technical problems, and building AI systems that push engineering and simulation technology forward, let’s talk. No up-to-date resume required.

100% remote. Must reside in Bay Area. Must have prior Start Up experience. About the Role We're looking for a Tech Lead Manager (TLM) to own and drive the AI team building the intelligence layer at the heart of our Client's platform. This is a hybrid IC/management role where you'll spend approximately 70% of your time on hands-on technical work and 30% on people management and team leadership. On the technical side, you'll design, build, and ship the models, agents, and ML systems that power Our Client's predictive and prescriptive capabilities—from forecasting workforce demand and flagging burnout risk to orchestrating LLM- driven planning workflows trained on each customer's historical data. You'll write production code, drive architectural decisions across model training, serving, and Tech Lead Manager, AI 1 evaluation, and set the bar for applied ML quality. On the management side, you'll build, mentor, and grow a high-performing team of ML and AI engineers, owning their career development, performance, and day-to-day delivery. The ideal candidate thrives at the intersection of applied ML depth and people leadership—comfortable context-switching between shipping models and coaching engineers. You'll set the technical direction for your team, partner closely with Product, Design, and Data, and ensure your squad delivers AI capabilities that are reliable, measurable, and shipped at a pace that matches our Clients's growth trajectory. What You'll Do Technical Leadership & Execution (~70%) Own the architecture and delivery of AI features end-to-end—from data ingestion and feature engineering to model training, serving, evaluation, and the product surfaces they power. Design and build the systems behind our Client's forecasting, recommendation, and agentic planning capabilities, including LLM-based pipelines, classical ML models, and hybrid approaches trained on per-customer historical data. Drive engineering excellence: lead architecture discussions for model training and inference infrastructure, set standards for offline/online evaluation, experimentation, and responsible AI, and participate in the full ML lifecycle from problem framing through deployment, monitoring, and on-call. Make pragmatic technical decisions that balance model quality, latency, cost, and long-term system health. Leverage modern infrastructure including PostgreSQL, Redis, Kubernetes, vector stores, and streaming technologies to power our Client's real-time AI workflows. Engage in hands-on coding, model development, code reviews, and performance optimizations, setting the standard for applied ML excellence across the team. Tech Lead Manager, AI 2 Champion AI quality—accuracy, calibration, robustness, latency, and the guardrails that make AI outputs trustworthy in an enterprise context. Implement best practices in evaluation, observability, drift detection, and A/B testing to ensure reliability and measurable customer impact. People Management & Team Leadership (~30%) Manage, mentor, and grow a team of ML engineers and applied AI engineers, owning their career growth, performance reviews, and professional development. Conduct regular 1:1s, provide timely and constructive feedback, and create individual development plans for each report. Foster a culture of psychological safety, trust, accountability, and continuous improvement. Own team planning: scope AI work with Product and Design, participate in sprint planning and Agile ceremonies, and remove blockers. Drive hiring for the team—defining roles, conducting interviews, and making hiring decisions to build a world-class AI engineering team. Maintain team health by monitoring workload, preventing burnout, and ensuring sustainable delivery. Cross-Functional Collaboration Partner with Product Managers and Designers to translate product vision into well-defined AI problem statements and technical plans. Communicate progress, model performance, risks, and trade-offs clearly to engineering leadership and non-technical stakeholders. Collaborate across Engineering, Data, and Platform teams to drive alignment on shared data, features, evaluation infrastructure, and serving systems. What We're Looking For B.S. or M.S. in Computer Science, Machine Learning, or a related field, or equivalent experience. Tech Lead Manager, AI 3 7+ years of hands-on software engineering experience with a strong applied ML background—shipping production ML systems, not just prototypes or research. 2+ years of engineering management or tech lead experience, including direct reports, mentorship, and team-level delivery ownership. Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or equivalent), plus comfort in at least one backend language (Python, Node.js, or Ruby) for productionizing services. Deep understanding of the applied ML lifecycle: problem framing, data pipelines, feature engineering, training, evaluation, deployment, and monitoring. Hands-on experience with LLMs and modern AI tooling—prompt design, retrieval-augmented generation, fine-tuning, agentic workflows, and evaluation of non-deterministic systems. Proven experience designing, building, and operating scalable ML systems in data-heavy environments. Solid grasp of software engineering best practices: testing, code review, CI/CD, design documentation, reproducibility. Experience with RESTful APIs, relational databases (PostgreSQL), vector databases, and cloud-native architecture (Kubernetes, containerization, microservices). A systems-level thinker who balances model quality with pragmatic, business- aware decision-making around cost, latency, and time-to-ship. Excellent communication skills—you can translate complex ML concepts for both engineers and non-technical stakeholders, and set realistic expectations about what AI can and can't do. Demonstrated ability to balance technical execution with people leadership— comfortable context-switching between shipping models and coaching engineers. Early-stage startup experience (Seed to Series C) preferred—comfortable wearing multiple hats and building in fast-moving environments. Tech Lead Manager, AI 4 Nice to Have Experience building agentic systems, tool-using LLM pipelines, or multi-step reasoning workflows in production. Familiarity with time-series forecasting, recommendation systems, or workforce/operations modeling. Background in MLOps tooling (MLflow, Weights & Biases, Ray, Kubeflow) or large-scale data pipeline orchestration (Airflow, Dagster, Prefect). Experience with real-time analytics and streaming infrastructure such as Redis, Kafka, or Apache Pinot. Experience building and scaling AI teams in a high-growth startup environment. Knowledge of evaluation frameworks for LLM-based systems and experience designing offline/online eval harnesses. Why Join Our Client? High Impact: Deploy technology that changes how enterprises plan, manage, and scale their workforce. Deep Technical Ownership: Work directly in code—not just configure systems—and ship meaningful solutions to real customers. Cross-Functional Exposure: Operate at the intersection of Engineering, Product, and Design. Growth & Learning: Build expertise in enterprise-scale systems, data reliability, and AI-driven automation. Benefits: Competitive compensation, meaningful equity, world-class medical/dental/vision coverage, and a flexible remote-first culture with team events, offsites, and happy hours. If you're passionate about building AI systems at scale, love developing people as much as models, and want to be part of a company growing at rocket speed, we'd love to hear from you.

About the job An established medical device company is seeking a Principal Scientist, AI/ML to help build and scale next-generation AI-enabled technologies focused on procedural imaging, computer vision, and surgical workflow optimization. The organization is investing heavily in AI/ML capabilities as part of a broader initiative tied to procedural video analysis, imaging systems, and physician-facing clinical technologies within the MedTech space. This is a highly hands-on role at the intersection of AI/ML, medical imaging, and product development. The ideal candidate has experience building applied machine learning systems in healthcare or medical device environments and is comfortable operating directly within fast-paced, execution-oriented teams. Key Responsibilities • Own AI/ML model architecture, technical direction, and scientific execution across new product initiatives, • Design and support machine learning pipelines, dataset strategy, validation workflows, and evaluation methodologies, • Partner closely with software engineering, R&D, and clinical stakeholders throughout development and deployment, • Help define scalable infrastructure, deployment strategy, and data management processes for AI-enabled systems, • Attend physician visits and procedural environments to better understand workflows, data generation, and real-world product applications, • Drive highly applied AI/ML research focused on product-oriented and commercially scalable outcomes, • Help establish best practices and foundational processes as the organization builds out its AI/ML capability Your Experience • Strong hands-on experience building and deploying AI/ML systems in healthcare, MedTech, imaging, or related technical environments, • Proven track record bringing products or technologies from development through commercialization, • Experience working with imaging data, computer vision, video analysis, or procedural/surgical datasets is highly preferred, • Ability to communicate effectively across technical teams, leadership, and physician stakeholders, • Advanced degree (PhD preferred) in Biomedical Engineering, Computer Science, AI/ML, Physics, or a related technical discipline, • Comfortable operating in fast-moving, highly collaborative, and execution-driven environments, • Experience within startup or growth-stage MedTech organizations is strongly preferred Additional Details • Hybrid preferred with approximately 3 days/week on-site, • Travel expected approximately every 2–3 weeks during the first year, • Competitive compensation package including bonus and equity

Job DescriptionOverview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Quality Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details • Job Title: Data Quality Analyst, • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame., • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $34/hour, • Contract Duration: 1-year contract with possibility of extensionImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Evaluate AI model outputs and provide structured, high-quality feedback, • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes, • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios, • Contribute to improving evaluation frameworks, not just executing them, • Identify trends in model performance and communicate insights clearly, • Participate in team discussions, calibrations, and stakeholder syncs, • Partner with leads and cross-functional teams to refine quality standards, • Document findings in a clear, concise, and actionable wayWhat We’re Looking For, • Native-level English proficiency (UK, CA, AU) and a university degree (Bachelor’s or higher)., • 1–2 years of professional writing experience with strong, structured writing skills, • Ability to apply complex writing rules and guidelines consistently, • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience, • Strong critical thinking and attention to detail, • Ability to make sound judgment calls in ambiguous situations, • Naturally curious about AI, technology, and how systems behave, • Comfortable speaking up, asking questions, and contributing ideas, • Strong written and verbal communication skills, • Ability to stay consistent while working with evolving guidelines, • Experience in data quality, QA, annotation, or analysis is helpful — but not requiredBenefits, • Paid Vacation: 6 days, • Paid Company Holidays: 2 days (Memorial Day and Labor Day), • Paid Sick Leave: accrued per applicable state law and company policy, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program, • Additional voluntary benefits (life, accident, critical illness, etc.), • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes., • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix., • Unique Campus Features: Some locations include roof-top nature parks, • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Every company needs supplies and services to operate. From laptops and rental cars to pens and pallets, all companies have procurement needs. That’s where CoreTrust comes in. CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and services annually. We’re on a mission to be the one place where buyers and suppliers connect, secure purchasing agreements, transact, and partner to realize savings. To support our growth, we’re seeking an experienced Senior Data Scientist to join our Data Solutions team. The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, sales, marketing, finance, and business leaders to identify opportunities for improving customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help CoreTrust deliver the best experience possible for our customers and partners. Responsibilities • Work with other teams across CoreTrust to develop key metrics to achieve business outcomes., • Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents., • Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business., • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map., • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution., • Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications., • Track and monitor projects in JIRA, • Design, implement, and maintain analytics, models and LLM-driven scripts/software, • Work with stakeholders across the organization to understand requirements and generate actionable insights, • Work as part of a team to maintain a high-quality data lake house, • Serve as a subject matter expert on machine learning, AI agents, and statistics, • Be part of the Data Science Team to share ideas and best practices, • Create dashboards and reports to clearly and concisely communicate results and insights, • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • 4+ years of experience in data science and analytics, • Experience with design and maintenance of advanced data systems, • Deep understanding of data modeling, statistics, and data visualization concepts, • Comfortable working with data in a variety of formats and languages, like CSV, Parquet, XLSX, JSON, etc. and SQL/Python, • Experience with Azure or AWS cloud platforms, OpenAI and Anthropic APIs, RAG-based chatbots, AI Agents, LLMs and other foundational AI/GenAI models, • Ability to use your understanding of statistics and modeling to explain complex outputs to non-technical team members, • Experience with tools like PowerBI, Snowflake, N8N, Claude Code, OpenAI Codex, Cursor, • Competitive compensation package, • Free individual employee medical coverage, • Company subsidized dental and vision coverage, • Dollar for dollar 401(k) match up to 6% of your salary with immediate vesting, • Company-paid Short-Term and Long-Term Disability coverage, • Employee Assistance Program to support your wellbeing and mental health, • $1500 annual stipend for undergraduate/graduate college courses; $500 annual stipend for continuing education courses/certifications, • Free snacks and beverages on-site, • Brand new, state-of-the-art, tech-enabled work environment in downtown Nashville, • Flexible/hybrid work culture

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do • Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data., • Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use., • Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs., • Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features., • Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations., • Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need., • Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. • Significant experience designing and maintaining ETLs that process large-scale datasets., • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done., • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them., • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences., • Proven leadership in technical projects, with a willingness to mentor and help others grow. Why Work Here • Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year., • Work on challenging, real-world problems that have a direct impact on our customers., • Be part of a collaborative, supportive team where your ideas are valued and acted on., • Use cutting-edge tools and platforms to solve meaningful data challenges. We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you! This position is not eligible for immigration sponsorship Salary Range in U.S.: $156,000 - $211,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh 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/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed. We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in. Explore our open roles below and see how you can help us shape the future of funded trading. Location: Remote / Hybrid Type: Full-Time Reports to: Director of Business Intelligence We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions. MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed. Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data. Data & Reporting • Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support., • Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business., • Build scalable data models using star schema and fact/dimension design principles., • Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics. Analysis & Insights • Analyze trader behavior, including success rates, churn, risk signals, and anomalies., • Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews., • Identify early warning signals in risk and operational data before they become larger issues. Cross-Functional Partnership • Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights., • Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why. Required • 3-5 years of experience in business intelligence, data analytics, or a related field., • Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning., • Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting., • Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation., • Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures., • Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks., • Experience integrating data from APIs, webhooks, or third-party SaaS platforms. Nice to Have • Experience in capital markets, futures trading, prop firms, or brokerage operations., • Familiarity with drawdowns, leverage, volatility, and liquidation concepts., • Experience working with financial time-series data., • Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves., • You translate complex data into clear, practical narratives for non-technical stakeholders., • You work autonomously and are comfortable taking initiative in a fast-moving environment., • You bring a strong sense of ownership and follow through on problems from identification to resolution., • You are comfortable operating in ambiguity and can create structure when priorities are evolving., • You think critically and creatively, challenge assumptions, and look for better ways to solve problems., • Help shape how a high-growth trading firm makes decisions., • Work alongside experienced operators from capital markets, fintech, and trading technology., • Flexible work environment focused on outcomes and impact., • Competitive compensation and meaningful room to grow as the company scales. Equal Employment Opportunity My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported—regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives. If you require assistance or an accommodation during the application process, please contact our HR team at _. Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies. Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. As part of our fast growing pace, we are currently looking for a Customer Support Engineers become the technical expert responsible for supporting the Customers using our solution. This resource should be a self-driven individual who assumes accountability in ensuring high level of customer satisfaction. The individual should have strong technical skills and an analytical mind to research, diagnose and resolve the issues raised by the Customers. Should be team player capable of collaborating with the Product, DevOps, and Engineering teams. Location: Dallas, TX & Bangalore, India, & EMEA (UK) • Product & Domain Expertise – Understands mobile applications, SaaS based delivery models and troubleshoot /debug issues reported by the customer., • Customer Satisfaction & Risk Management – Maintain a high level of customer satisfaction and take ownership of customer issues reported and seeing problems through to resolution while providing Zimperium’s management with adequate visibility on any potentials risks., • Roll up your sleeves – Learn everything about the product, Validate Customer specific fixes and releases working with QA team, develop technical documentation for specific customer needs., • Customer Advocacy – Gather Customer’s feedback and follow the standard escalation procedures for unresolved product issues and bugs, creating JIRAs for engineering to work on., • Collaborate with internal teams – Work closely with customer success, development and product teams in different time zones to address customer issues. Desired Skill Set:, • Strong SQL skills, python/ java scripting, Unix skills., • Prior experience with Mobile Apps, mobile architecture and MDM Solutions like MS-Intune, AirWatch, Mobile Iron, Citrix., • Familiarity to SIEM tools like ArchSight, Splunk, etc., • Familiarity with Cloud Architecture : Amazon Web Services components, Linux Containers / Docker, OpenStack, postgress, kaftka., • The following skills are a plus: Android Studio (adb, junit), xCode., • Bachelor’s in computer science or information technology or an equivalent engineering degree., • 5+ years (Mid-Level) or 1-3 years (Junior) of experience working with Enterprise software solutions, startup experience desirable., • Good understanding and proven experience in supporting cloud-based web applications., • Hands-on skillsets with Python, Java and SQL Scripting. At least 1-3 years of experience implementing and supporting Mobile application infrastructure., • Self-motivated, extensive troubleshooting skills and knowledge of debugging required., • Customer oriented and face to face post-sales services experience with excellent communications skills., • Experience in Mobile app delivery and deployment concepts on iOS and Android will be plus.Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies.Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. Zimperium is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Who we are Lawelawe is a Native Hawaiian Owned Small Disadvantaged Business (NHO SDB) that specializes in providing a range of services to federal government clients, including program management, digital solutions, human capital and training, and medical staffing. Lawelawe leverages our NHO status to secure federal contracts that not only drive business success but also support our overall mission to uplift economically disadvantaged Native Hawaiian families and preserve the Native Hawaiian heritage. You are As a Sr. Accountant you will assist with the day-to-day transactional accounting operations of the organization. Reporting to the Director of Finance & Accounting, in this position, you will primarily engage with the month-end and year-end closing processes, reconcile assigned general ledger accounts, review expense reports and ensure all accounting policies of the organization are followed. Responsibilities • Compiles and analyzes account data to create capital, liability, and asset account entries, • Enters account details to document financial transactions into general ledger and assigned subledgers, such as billing, accounts payable, accounts receivable, • Audits records to substantiate financial transactions, • Prepares and recommends procedures and policies for maintaining accounting controls, • Coordinates various activities and responses for annual audits, new contract award and annual compliance reporting to various agencies, including SBA, tax agencies, etc, • Collects and examines account information necessary to reconcile financial discrepancies, • Completes database backups to secure financial information, • Follows internal controls to ensure financial security, • Verifies documentation, requests expenditures, and prepares disbursements for accounts payable and travel expenses, • Research and interpret accounting regulations and policies to resolve procedural questions, • Advises management on necessary operations to enforce adherence to legal requirements, • Gathers, interprets, and compiles account trends and data to create specialized financial reports, • Ensures client confidentiality by keeping financial information secure, • Review and validate monthly transactions entered all ledgers and subledgers and enter any adjusting entries required, • Manage general ledger and assist month-end and year-end close processes, • Monthly reconciliations general ledger account balances, bank statements, and request corrections for any reconciling items, • Gather documentation, prepare reports, assist with budgeting, and assist Finance Director in interpreting complicated financial information for managers, executives, and auditors, • Updating financial system including contracts, billing, projects, accounts payable and receivables etc. according to customer requirements and reporting associated budget amendments, • Extensive experience in project invoicing and billing, • Prepare and update contract and project budgets, financial forecasts, and tax reports., • Generate and distribute invoices and purchase orders, to customers, • Review contracts and create new projects for government contracts, subcontractors, vendors, etc., • Assist with monitoring receivable income and supporting project managers with collections, • Data entry transactions related to contracts, billing, project, A/P & A/R, travel expenses etc., • Strong leadership and communication skills, with the ability to work collaboratively across departments.Education and Experience, • Bachelor’s degree in accounting, Finance, or a related field from an accredited University or College; Master’s degree is a plus., • 5-7 years of accounting experience, with at least 2-3 years in a senior accounting role., • Extensive experience with Deltek software is highly desired, • Through understanding of government contracting and compliance requirements., • Strong knowledge of GAAP and financial reporting principles., • Proficiency in Microsoft Excel and other MS Office applications., • Excellent analytical, organizational, and problem-solving skills., • Ability to work independently, prioritize tasks, and meet deadlinesBenefits, • A competitive compensation package, • Comprehensive health and wellness benefits, including medical, dental, and vision plans, • Access to company-provided retirement savings options with matching contributions, • Opportunities for professional growth and continued learning, • Additional perks such as discounts on various services and productsCompetencies, • CORE, • Problem Solving/Analysis, • Personal Effectiveness/Credibility, • Fostering Teamwork and Building Collaborative Relationships, • Ethical Practice, • Balanced Decision MakingSupervisory Responsibility This position does not have direct supervisory responsibility, however there are several dotted line relationships for purposes of directing work. This position also has oversight of several programs/projects and may be the initial point of contact for individuals engaged in those activities. Work Environment This position will be a hybrid role (office and home) with work primarily from the Chantilly, Virginia office location. The employee should ensure that the appropriate home office equipment is available to satisfy the requirements of the positions. This job operates in a professional office environment during travel. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. • Must be able to remain in a stationary position 70% of the time., • Occasionally moves about inside the home or office location to access file cabinets, office machinery, etc., • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • Expresses or exchanges ideas by means of the spoken word. Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly., • May move office equipment up to 30 pounds., • Must be able to work indoor conditions 90% of the time.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Position Type/Expected Hours of Work This is a full-time position that will require a minimum of 40 hours per week. Hours of work can be set by the individual; however, they should fall within the core hours of 8 AM to 5 PM Monday through Friday. Attendance at meetings or other events may necessitate a change in standard hours. Travel Travel will be required on an as needed basis to Chantilly, VA and for business and client needs as necessary. The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Candidates possessing the necessary qualifications for the position will be considered. Lawelawe Management Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. Offers of employment are contingent upon satisfactory completion of a comprehensive background verification, inclusive of a criminal record check. Employment may be subject to other background checks, as required by the position.

Job Description Start Your Career with Auto-Chlor Auto-Chlor is a national leader in service solutions for the restaurant and hospitality industries. We’re a people-first organization focused on training, development, and delivering exceptional customer service. If you bring a positive attitude, enjoy learning new skills, and take pride in making an impact, this could be the opportunity for you. We provide hands-on training so our technicians can confidently deliver value to customers every day. Looking to grow your career and increase your earning potential? Read on. What You’ll Do • Troubleshoot dish machine operations and resolve mechanical issues, • Build strong relationships with customers and key decision-makers, • Upsell and cross-sell additional products and services, • Respond to on-call service needs when required, • Deliver and pick up cleaning and sanitizing products, • Collect payments and follow up to keep accounts current, • Train customers on proper equipment and chemical usage, • Resolve customer concerns quickly and professionally, • Negotiate service renewals and pricing adjustments What We Offer • Paid, hands-on training to set you up for success, • Career advancement opportunities within the company, • Competitive compensation, • Company vehicle and mobile phone, • Full benefits package: Medical, Dental, Vision, Life Insurance, 401(k) with profit sharing and employee savings options, • Paid vacation, holidays, and sick time What You’ll Need • Valid driver’s license for a minimum of 3 years, • Comfort working in a fast-paced, physically active role, • Ability to lift and move up to 70 pounds, • Mechanical or driving experience (preferred), • Ability to navigate stairs at branch and customer locations Ready to Take the Next Step? If you’re ready to build a career with a company that invests in your success, apply today and become part of what makes Auto-Chlor thrive.

About Drafted Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack. Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience. Drafted's Values We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values: • Own the mission. We take agency, act like owners, and see problems through to real outcomes., • Build in the open. We value direct feedback, fast learning, and growth through honest collaboration., • Move with care and speed. We iterate quickly while staying deeply respectful of our teammates., • Seek the why. We challenge assumptions, think from first principles, and never stop asking questions., • Design for everyone. We believe anyone should be able to design and build a home they love., • Solve what matters. We embrace hard problems and create new paths forward when none exist. The Role As a design engineer, you’ll contribute meaningfully to the end-to-end experience, from prompting and ideation workflows to the tools users rely on to iterate, edit, and visualize their designs. Our product blends exceptional product craft with deep technical work, so you’ll collaborate closely with design, engineering, and research. Example Projects • Design, implement, & iterate on editing generated plans using our existing machine learning model capabilities., • Design, implement, and iterate on how users guide the output home design with new model controls (i.e. multi-floor, exterior design, etc)., • Design, implement, and iterate on the existing user interface to reduce friction and increase the number of users creating a home they love. Desired Skillset • 5+ years experience coding, • ⁠Experience with making high quality, detailed, and maximally implementable Figma designs, • ⁠⁠Experience writing Next.js + Tailwind front ends, • Experience with Typescript backend code using standard relational databases Salary Range • $150k - $200k + 1-2% equity

Data Scientist – Machine Learning & Predictive Analytics.RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience.We’re expanding our data capabilities and seeking a Data Scientist to design and d

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

Role: Data Scientist – Machine Learning Focus.This role is open to US Citizens, Green Card holders, GC-EAD only.Adidev Technologies is seeking 2 yrs of relevant experience in Data Science.A project can last anywhere from 6 months to 18 months.Salary varies depending on experience, and we are in se

Founding Growth Lead | San Francisco (On-site) | $100K-$130K + Equity The AI Agents Platform for Healthcare About Nudge Nudge is building the AI agents platform for healthcare. We automate every clinic workflow (documentation, coding, prior authorization, referrals, and more) so clinicians can focus on patients instead of paperwork. We're turning a $1T industry still buried in manual processes into one that runs on intelligent automation. Founded by Saureen Shah (founding engineer at YouTube, co-founder & CTO of Instawork - backed by Y Combinator, Benchmark, Craft Ventures, and Greylock). The early team has built and scaled products used by millions and wants to do it again in healthcare. About the Role We're hiring a Founding Growth Lead to build and own our outbound growth engine, the machine that takes Nudge from hundreds of clinics to thousands. You'll work side-by-side with the founder to find, test, and scale the outbound motions that make Nudge the default AI platform for every clinic in the country. You have growth or outbound marketing experience, ideally in B2B SaaS or healthcare. Prior consulting, investment banking, or PLG experience is a plus. This role is for someone who's equal parts analytical and creative, comfortable with ambiguity, and wants to build something that changes how an entire industry operates. What You'll Do • Own outbound acquisition metrics end-to-end: pipeline volume, time-to-close, CAC, payback period, and activation rates, • Build and operate an AI-powered outbound engine that personalizes messaging from real customer signals and books demos autonomously. Cold email, cold calling, LinkedIn, clinic outreach, conference follow-up. Whatever it takes to fill the pipeline, • Discover and prove a core outbound growth loop within your first 12-24 weeks. One with enough scale to acquire thousands of new clinics at an efficient payback period, • Design and launch a referral engine tuned for tight-knit physician networks where trust and word-of-mouth spread fast, • Stand up a channel partner program so every practice consultant, health IT firm, and EHR reseller in the country is sending clinics to Nudge, • Use AI tools natively across your workflow, from prospecting to copy generation to data analysis, and pioneer new AI-driven distribution strategies, • Run constant experiments. You treat growth like a lab: form a hypothesis, test it fast, read the data, and double down on what works, • Get resourceful - if a channel needs to be tested by end of week, you find a way to make it happen without waiting for permission or perfect conditions, • Partner with engineering and product to instrument funnels, build internal tools, and ship growth features directly into the product About You • Something in your background that makes it obvious growth is in your DNA - you scaled a channel before anyone asked you to, built something on the side that got real traction, or figured out how to generate revenue without a playbook, • Comfortable with data. You can pull your own queries, interpret funnel metrics, and make decisions based on what the numbers say, not gut feel, • Familiarity with healthcare or regulated industries is a plus but not required - intellectual curiosity and speed of learning matter more Attributes • Experimental: You run your work like a lab. Hypothesize, test, measure, iterate. Ruthless about prioritizing the highest-leverage bets, • Creative: You generate ideas fast and aren't afraid of the unconventional ones, • Independent thinker: You form your own convictions from data and customer signal, hold strong opinions loosely, and aren't easily swayed by consensus, • Relentless: You handle pressure well, don't give up, and have a competitive streak that makes people want to keep up with you, • AI-Native: You already use AI tools daily to build and operate, and you're excited to figure out how AI reshapes distribution and growth strategy from the ground up, • Scrappy: Resourceful and energized by building from zero. You'd rather ship something imperfect tonight than plan the perfect thing for next quarter, • High Integrity: You optimize for long-term trust over short-term wins. You want to build something real, not pad a resume Nice to Have • Growth experience in B2B SaaS or healthcare technology, • Software engineering skills - able to build and ship experiments yourself, • Strong copywriting ability and good judgment on messaging, • Ability to sell on a live demo call - if you can pitch effectively in person, you can create great marketing around it, • Experience with healthcare go-to-market motions (selling to physicians, clinics, or health systems) Compensation $100K - $130K + Equity · San Francisco (on-site) · Full-time Interested? Apply below or DM me directly.

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: • Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting., • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals., • Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! What we’re looking for: We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D. Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York. #LI-REMOTE • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia, • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data, • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes, • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization, • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs., • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation, • Contribute code to enhance our platform’s AI and data capabilities, • Collaborate effectively with remote team members, • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development, • 2-5 years of experience developing Machine Learning/AI-based systems in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred., • A minimum of 10-12 years of technical experience in data and/or engineering, • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning, • Fluency with Python or R, SQL, and Java or JavaScript, • Experience with software engineering for real-world applications (ideally through professional experience), • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics, • Experience with scalable machine learning (MapReduce, streaming)., • Experience with time series and dynamical systems., • Ability to manage projects and work efficiently independently and collaboratively, • Ability to quickly formulate and document assumptions to advance projects, • Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact, • Ability to communicate complex technical concepts to both technical and non-technical stakeholders, • Prepared to share project portfolio (GitHub, papers, etc.). Benefits: • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection, • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year, • 12 annual holidays, • 10 days sick leave, • Up to 4 weeks bereavement leave, • 2 volunteer days off, • 2 professional development days off, • 12 weeks paid parental leave for all parents, • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing careers@arcadia.com prior to completing your application.. Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com *Visa Sponsorship • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team, • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time Thank you

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Collision Avoidance, you will lead a development team focused on preventing and mitigating safety-critical collision scenarios. This team develops models that tackle fundamental questions about how we can guarantee the high bar of safety for end-to-end systems, and enable configurability, interpretability, and validation at scale. These models play a significant role in enabling L2+, L3, and beyond, requiring innovation in both algorithms and validation strategies. We are looking for a system-oriented leader with cross-functional experience that is able to bring the worlds of machine learning, controls, and safety together. Key responsibilities: • Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience with planning, control, and systems integration for autonomous vehicles., • Experience with performance evaluation of embodied AI systems., • Development experience in C++., • Experience with generative AI and simulation platforms., • Experience developing ML systems., • Knowledge of automotive safety regulations and their development processes. This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Our Customer Success team works proactively and prescriptively to help customers get the most value from their investment in security and privacy by establishing long term relationships and acting as trusted advisors to our customers. The Senior Customer Success Manager guides Mid Market Teams and Business customers through established best practices by demonstrating an understanding of their structure and needs while guiding them throughout their 1Password lifecycle working closely with Onboarding and Account Management. This individual acts as the customer champion and advocate, helping increase awareness of customer needs and priorities. Customer retention is a key focus for this team member, supporting our customers in seeing the value of their investment with 1Password, and driving towards their adoption goals through proactive and reactive customer engagement. This is a remote opportunity within Canada and the US. What we're looking for: A proven track record with a 5 years experience in revenue generating roles and a minimum 3 years experience managing a book of business in a SaaS or Tech Customer Success role servicing customers through strategic calls and engagement. Strong communication skills over email, the phone, and video call. Presenting and speaking to new people each day excites you. Your style is concise yet empathetic – with a balance of teaching and listening/learning yourself as well as knowing when to pivot in a conversation. Experience with and passion for helping people or businesses use software to be more productive and efficient. You’re passionate about discovering what a team needs in their workplace, and you ask strong open-ended questions that help you learn more about them. You're technically savvy and enjoy learning new products and translating technical terms for customers who find technology confusing or intimidating. You have experience and are comfortable in working closely with C-Level executives, and can navigate the nuances of working with different stakeholders to identify and drive value realization Guiding customers through their lifecycle through email, webinars, and customized sessions; making prescriptive recommendations and helping customers achieve their desired outcomes and ensure high adoption rates across their book of business. Follows defined outreach and follow-up communication processes managing data and activity of customers in tandem with the Onboarding and Account Management teams; and synthesizing and logging findings from customer discussions such as feature requests, customer details, and general feedback/metrics accurately. Supports customers within their book of business through the annual renewal process, following defined process to engage with our customers early, and support in closing out renewals on a timely basis with customer satisfaction and retention in mind. You have experience managing revenue retention as your key metric - supporting your customers to drive tool adoption and prevent risk within your book of business. You are comfortable with identifying opportunities for growth and supporting sales counterparts in driving opportunities forward. Optional: You have personal experience with 1Password or another password manager. While not required, it’ll help you quickly have confidence in this role. What you can expect: Month 1 Get to know the product, our culture, the Customer Success processes, and the people you'll be working with. Learn Salesforce, what and how we track, and the benefits of keeping customer information within it updated. By the end of the first month, you’ll be able to guide a small sized customer through an intro discussion in our Customer Success process. Month 3 Can guide medium to large customers through achieving their desired goals using your product expertise and provide defined Customer Success consultations to increase their 1Password product usage, resulting in delivering optimal value for the customer. Proactively report on customers’ needs and valuable feedback so the marketing and product teams can accurately reflect messaging and prioritize the right projects to improve the product. Build and maintain a healthy account book of customers for whom you are the Success Manager. Month 6 Have developed your best personal approach and rhythm, analyzed the Customer Success processes to maximize your customer engagement, and begun collaborating with cross-functional peers in internal teams. Have a steady book of customers with whom you’ve learned needs, built rapport, and put Success plans in place influencing the broader Customer Success metrics and processes. Hands off cross-sell/upsell opportunities to Account managers and engages enthusiastic customers in advocacy initiatives such as_, case studies and product discussions. Contributes to the success of the Customer Success team in an ongoing capacity through team goals and metrics (including operational, NPS, revenue, and performance metrics). USA-based roles only: The annual base salary for this role is between $75,000 USD and $105,000 USD, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $83,000 CAD and $116,00 CAD, and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

About NineTwoThree NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture. With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. As a Product Manager at NineTwoThree, you will drive exciting digital product work with a fast-paced and technology-forward team, taking leadership for concept and launch of half a dozen new client products every year. Acting as the primary point of contact, you will effectively serve as the client’s Head of Product, quickly gaining a deep understanding of their business and the needs of their end users. You will work closely with clients to transform their vision into a clear, actionable roadmap for their digital web, mobile, or AI product. You will then use that roadmap to define precise requirements for each key milestone toward a useful product release. Collaborating cross-functionally with our internal teams—design, project management, engineering, and QA—you will guide products from concept through to launch. NineTwoThree moves fast, and you will work with the team to ensure projects stay on track and within scope, while also helping clients adjust priorities, align expectations, and make necessary trade-offs when challenges arise. You will also work across several clients, flexing and building product muscle in various domains, business models, and systems - an enormous professional development opportunity. As an AI-first agency, we place a high value on curiosity and a willingness to learn, especially regarding AI and machine learning. You will collaborate closely with our engineering team to build innovative products that leverage these technologies. Keeping up with the latest AI trends and tools will enable you to bring fresh insights and ensure our solutions remain at the forefront of the industry. Key Responsibilities • Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention., • Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation, • Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope, • Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process, • Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA, • Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones., • Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met., • Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines., • Identify opportunities for, and with, clients to see additional benefits and growth via further product features, marketing services, or ongoing maintenance and support contracts. Qualifications • 3+ years of experience as a product manager of digital products (SaaS, mobile, web, AI, etc;, • Strong experience with relationship management, either in a client-facing role or with executive-level stakeholders, • Excellent communication, negotiation and presentation skills to communicate effectively with customers and project teams;, • Ability to work independently and with a team in a dynamic product-development environment;, • Attention to details, strong analytical skills, organizational skills, and critical-thinking skills;, • Located in the EST time zone (or adjacent, and able to overlap the European team at least between 8am-1pm Eastern); We are glad to offer you: • 100% remote job, • Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years, • Paid sick leave and holidays, • Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager), • Well-being budget, • Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor Hiring process: We value your time and ours and make the process fast and easy. Our interview process takes the following steps: HR interview, test challenge, second interview with Head of Product and CTO, third interview with CEO (optional), Offer.

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen, • Must be able to obtain and maintain a Public trust security clearance About : Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at and is an _ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: Equity & Incentives – Participation in our stock option program. Flexible Time Off – Autonomy to manage your schedule and work-life balance. Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

We are a development, data science and design studio that works closely with founders and executives to create custom software and machine learning solutions. AE Studio is an LA-based company focused on increasing human agency by making the AGI future go well. We believe alignment is solvable; people just haven’t tried hard enough. For us, that means focusing on neglected ideas that could unlock major breakthroughs. We’ve spent over a decade helping clients, from startups to companies like Samsung, Walmart, Berkshire Hathaway, and Goodfire, solve complex technical problems and bring ambitious products to life. We apply the same structures to research. Instead of a client, we partner with visionary researchers exploring neglected alignment ideas. We’re a full-stack R&D group combining engineering, science, and product capability. This puts us in a unique position to move quickly and make real progress on one of the most important problems of our time. We're fully bootstrapped. We don’t rely on venture capital or private equity. Profits from our client work go directly into internal Skunkworks projects, technical research, and policy engagement. This gives us the freedom to pursue high-risk, high-upside ideas that typical funding models neglect. We can commit to long-term bets without being constrained by short grant cycles or investor timelines. Our alignment efforts include in-house work, alignment clients like Goodfire AI, and collaborations with Redwood Research and researchers at Anthropic and DeepMind. In the past, we also led pioneering research in brain-computer interfaces, and we continue to expand our scope as the stakes rise. If you care about actually solving alignment and want to build, we want to talk to you! We’re hiring a strategic and technical operator to lead execution across research and product efforts. You’ll turn abstract ideas into clear roadmaps, keep teams moving, and ensure progress is visible and aligned with goals. You’ll own high-leverage projects from end to end. Some may be internal Skunkworks efforts. Others may involve clients, grants, or research partners. You’ll help us explore neglected AI alignment ideas, technical bets, or automation pipelines, and move them from concept to real-world impact. We’re hiring Project Runners—entrepreneurial, AI-fluent product leaders who can own delivery for high-stakes projects from end to end. You’ll be embedded in fast-moving teams, often at the intersection of cutting-edge AI, product-market fit exploration, and enterprise execution. This is a hybrid role: part technical PM, part AI architect, part founder-in-training. You’ll run client or internal projects with excellence, polish, and hustle—while building the skills to one day launch or lead a company of your own if AGI doesn't kill everyone. Own AI and Software Projects E2E driving projects from kickoff to launch across generative AI, automation, agent orchestration, or custom tooling. Own delivery and outcomes. Act as Product Owner and Team Lead, translating vague ideas into tested hypotheses. Define scope. Prioritize fast. Build what matters with devs, designers, and researchers. Be Enterprise-Ready to communicate clearly with demanding clients. Align stakeholders. Set expectations. Bring confidence and clarity to complex discussions. Build with AI Tools (Not Just Manage). You’re fluent in LLMs, LangChain, RAG stacks, vector search, OpenAI APIs, fine-tuning, or similar. You prototype and validate with your own hands. Work like a Founder while navigating ambiguity, wearing multiple hats, and making hard calls. Build with urgency and care. Take extreme ownership and find leverage. Spin Off (Eventually) - AE supports startup spinouts. You’ll have the opportunity to become CEO or CTO of a venture—either something you incubate here or that AE backs you to lead. • Proven experience in product leadership, AI product development, or startup building, • Strong understanding of generative AI stacks, LLMs, vector DBs, and APIs, • Entrepreneurial mindset: bias toward action, scrappiness, and experimentation, • Strong communicator: clear with clients, inspiring with teams, strategic with stakeholders, • Ability to lead cross-functional teams and ship without waiting for permission, • Preference for small teams, 0→1 problems, and real-world results over theory, • Experience working in consulting, agencies, startups, or early-stage ventures, • Prior founder/operator experience or deep desire to build a venture, • Experience building prototypes or MVPs in AI/no-code/low-code, • Exposure to AGI-aligned thinking or AI safety concepts, • Fluent in user research, iterative development, and lean experimentation, • Network or domain expertise in areas where AI can unlock 10x value, • High client satisfaction and consistent delivery on ambitious timelines, • Impactful prototypes that create real business value, • AI capabilities implemented in useful, reliable ways Spinout ventures launched or accelerated based on your leadership • Growth in your leadership path: from Runner → Director → CEO/CTO, • Not a project babysitter. You ship. You lead. You own., • Not a slide deck creator. You prototype, you test, you build real things., • Not a solo act. You bring others along, unblocking and collaborating effectively., • Not a corporate PM. You’ll get your hands dirty in tools, code, and strategy., • Build cool things using the coolest and more modern tools and actually ship it, • Work alongside top 0.1% engineers, researchers, designers, and founders, • Access to AE’s internal ideas, capital network, and spinout playbook, • Grow into a founder with guidance, support, and real projects to prove yourself on Salary range from $120k/year to $220k/year. Not in the range? That's fine, you can still apply and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon. This range considering people based in California EQUITY Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build. The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

Candidates in the following states are encouraged to apply: Florida, Georgia Company Overview: Join our innovative technology company as we develop cutting-edge solutions for agentic, context-aware intelligent conversations. We specialize in building platforms and products that deliver conversational agents. Job Summary: We are seeking an experienced Lead Full Stack Developer & Product Owner to own and drive the development of our real-time Python application. This role involves leading a team of developers, managing timelines, and collaborating closely with a project manager to ensure successful execution. The ideal candidate is not just a technical expert in Python and Node.js but also a strategic leader who can balance hands-on development with team management, product ownership, and roadmap execution. This role requires someone who thrives in a high-availability, real-time environment and can optimize communication frameworks for AI-driven applications. Key Responsibilities: • Technical Leadership & Team Management, • Lead and mentor a team of developers, ensuring best practices and high-quality code standards., • Oversee project timelines, sprint planning, and resource allocation, working closely with a Project Manager to align development with business objectives., • Own the architecture and design of scalable, real-time communication systems using Python, Node.js, Redis, containerization, and cloud technologies., • Drive continuous improvement in development processes and system performance., • Ensure low-latency, high-availability communication pipelines for AI-powered applications., • Full Stack Development, • Drive the design and development of our existing scalable real-time communication systems using Node.js, Python, containerization, Redis, and other relevant technologies., • Experience with asynchronous programming / multi-threading., • Ensure low-latency, high-availability communication pipelines for AI-powered applications and services., • Maintain an up-to-date understanding of emerging trends in real-time communication technologies and AI integration., • Experience with a variety of Python packages, including the following:, • Asynchronous Programming and Web Frameworks: FastAPI, Uvicorn, Aiohttp, Asyncio, • Data Manipulation, Validation, and Processing: Pandas, Openpyxl, Numexpr, Python Dateutil, Tqdm, Pydantic Settings, • Database Interaction: SQLAlchemy, Psycopg2, Pgvector, • Machine Learning and Natural Language Processing: LangChain, Tiktoken, Litellm, Semantic Router, • Configuration and Environment Management: Python Dotenv, Toml, • Cloud Services and Storage: Azure Storage Blob, • Communication Frameworks: Redis, BullMQ, • Error Monitoring and Logging: Sentry SDK, • Testing: Pytest, • Full Stack Development, • Build backend services using Python frameworks and integrate them with Node.js components., • Develop frontend elements as needed, ensuring seamless integration with backend systems., • Implement and optimize asynchronous programming for improved performance., • Product Ownership, • Define the product vision and roadmap for the real-time communication platform., • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications., • Prioritize development tasks and manage the product backlog to ensure timely delivery., • Act as the main point of contact for stakeholders regarding product updates and technical solutions., • Distributed Communication Frameworks, • Lead the development of communication frameworks., • Ensure efficient message passing and event handling across distributed systems., • Optimize system scalability and reliability through effective use of containerization and cloud services., • AI and Machine Learning Integration, • Integrate machine learning and natural language processing tools into the communication platform., • Implement context-aware conversation features., • Quality Assurance and Monitoring, • Implement testing strategies to ensure code quality and reliability., • Set up error monitoring and logging with tools., • Manage configuration and environment settings., • Cloud Services and Storage, • Utilize Azure and other cloud services for efficient data storage and retrieval., • Implement best practices for cloud-based infrastructure and distributed systems., • Mentorship and Collaboration, • Mentor junior developers and promote a culture of excellence and continuous learning., • Collaborate with other teams to ensure alignment and integration across the platform. Required Qualifications: • 5+ years of software development experience, with a strong background in Python and Node.js., • Proven leadership experience in managing developers, technical projects, and timelines., • Strong understanding of asynchronous programming, multi-threading, and distributed systems., • Experience with containerization (Docker, Kubernetes) and cloud services (Azure, AWS)., • Proficiency with Redis, and real-time communication frameworks., • Strong problem-solving skills and ability to drive technical initiatives., • Excellent communication and collaboration skills, especially in working with project managers. Preferred Qualifications: • Experience with AI/ML integration, especially in natural language processing., • Familiarity with cloud services (e.g., Azure, AWS) and cloud storage solutions., • Knowledge of DevOps practices and CI/CD pipelines., • Experience with database systems and data processing libraries., • Excellent communication skills and ability to work collaboratively. Why Join Us? • Be part of a mission-driven team transforming intelligent communication systems., • Lead the development of cutting-edge technology at the forefront of innovation., • Enjoy a collaborative, inclusive work environment with opportunities for career growth. Location: Remote with some travel for meetings and to offices in Orlando or Deerfield Beach, Florida may be required. Compensation: Competitive salary, performance-based bonuses, and a comprehensive benefits package. If you’re passionate about learning and contributing to scalable, real-time Python applications in an AI-driven environment, we’d love to hear from you. Apply today and start your journey with us!

About the Senior Data Engineer at Headspace: As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission—enabling smarter decisions, better member experiences, and the future of personalized mental health care. What you will do: • Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake, • Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements, • Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics, • Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation, • Support peers and champion a culture that values data as a strategic asset across the organization What you will bring: Required Skills: • 4+ years of proven success designing and implementing large-scale data systems, • Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic), • Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques, • Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake, • Demonstrated expertise in architectural patterns for building high-volume ETL pipelines, • Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation, • Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration, • BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Skills: • Experience in deployment and infrastructure management using Terraform is a plus, • Prior experience implementing governance, privacy, and security frameworks across a data platform, • Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data, • Experience migrating or working with DBT for transformations, documentation, and lineage tracking, • Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: • A mission that matters—with impact you can see and feel, • A culture that’s collaborative, inclusive, and grounded in our values, • The chance to shape what mental health care looks like next, • Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out _ if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the _. Privacy Statement All member records are protected according to our_. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. The Senior Hardware Product Manager is the key owner and champion for evolving our robotic fleet. This role drives both updates to current products and the development of new or enhanced features for existing and future robots, specifically aiming to make them faster, safer, and more capable. The position is critical to achieving core business objectives, including accelerating delivery growth, lowering overhead, achieving operational excellence, and expanding through diversified revenue streams. This manager will collaborate extensively with cross-functional teams, notably Hardware, Software, Delivery Platform, Design, Embedded Software, Program Management, Policy, Expansion, and Business Development. Responsibilities Align Priorities to Product Vision and Strategies – Set the direction for target hardware feature capabilities, enhancements and partner integrations to improve service efficiency, scalability and experience. Partner with engineering to ensure implementation excellence - Work closely with engineering teams to make trade offs between time to market, scalability, and safeguard against likely gotchas. Craft actionable requirements that capture business opportunities and operational pain points. Deep dive into our hardware design and architecture to support engineering and write user acceptance criteria that accelerate QA for any new or refined feature. Facilitate data gathering for key issues priority and focus, tracking back to OKRs and KPIs Measure success: Define key performance metrics, analyze production performance, and be the go-to for the performance of the target hardware features such as tracking, motorization and locomotion, robot regulation support features, merchant and customer experience intersection features and other key systems. Ensure Compliance & Scalability – Collaborate with legal, security, and compliance teams to meet industry standards and scale integrations. Act as the primary technical POC: Serve as the key interface between Serve Robotics and partner technical teams, providing guidance on what is feasible and ensuring successful integration and alignment with product goals. Qualifications Bachelors degree or another equivalent engineering discipline 5+ years of product management experience, with a proven track record of shipping HW features or features at the intersection of HW and SW or products and experience optimizing post-launch. Experience working with multiple partners, resolving conflicting requirements and priorities and negotiating for solutions that lead to a successful partnership Demonstrated ability to lead external partner integrations with a strong technical focus. Excellent product judgment, with the ability to balance customer needs, business goals, and technical feasibility. Strong communication and collaboration skills, with experience managing relationships across technical and non-technical stakeholders. Experience with mechanical, electrical, firmware and SW interface work, systems integration, testing and QA. What Makes You Stand Out MBA or equivalent degree Embedded SW product experience is preferred (mainly for telops related cross over work or for embedded team to HW and SW interfaces). Detailed requirements management methodologies and use of various tools to manage, such as confluence, notion, excel or G sheets. Working knowledge of robotics, hardware PM, owned and shipped ground breaking products in your career so far. Knowledge of AI based tools for data gathering and tracking. Additional Requirement Expected frequent travel to the Bay Area. *Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States. USA - ALL: $85,000 - $150,000 USD

Job ID: 412049 Practice area:- IP - Patent - Computer Engineering,IP - Patent - Computer Science,IP - Patent - Electrical Engineering,IP - Patent - Physics Patent Prosecution Associate Attorney (3+ Years) – AI & Software Technologies | San Francisco, CA Keywords: Patent Prosecution Attorney, Patent Associate Attorney, AI Patent Attorney, Software Patent Attorney, Patent Prosecution Lawyer, San Francisco legal jobs, Attorney jobs San Francisco, USPTO registered attorney, Law firm patent associate, Computer Engineering Patent Attorney, Electrical Engineering Patent Attorney, Artificial Intelligence Patent Attorney, IP Associate Attorney, Partner-track position,computer engineering patent, embedded systems, firmware, hardware design, computer hardware, digital signal processing, software-hardware integration A nationally recognized Am Law intellectual property firm is seeking a Patent Prosecution Associate Attorney with 3+ years of experience to join its sophisticated patent practice in San Francisco. This opportunity is ideal for attorneys with strong technical backgrounds in computer science, computer engineering, electrical engineering, or physics who are passionate about cutting-edge technologies involving artificial intelligence, machine learning, cloud computing, and autonomous systems. The ideal candidate will possess substantial patent prosecution experience, strong analytical abilities, and the ability to advise innovative technology clients on strategic intellectual property matters. This San Francisco legal job offers direct client interaction, sophisticated patent portfolio work, and exposure to groundbreaking technologies shaping the future of the global technology sector. This opportunity is actively interviewing and represents a strong partner-track position for attorneys seeking elite-level patent prosecution and AI technology experience. This Amlaw firm specializes in intellectual property and is committed to providing its associates with both a positive work environment and sophisticated work. Flexible scheduling and pro-bono work are aspects highly valued by the firm. This firm has also obtained its second perfect score on the Human Rights Campaign Foundation's Corporate Equality Index as "Best Place to Work" for LGBT equality. Key Responsibilities • Draft and prosecute patent applications involving AI, machine learning, cloud computing, and advanced software technologies, • Collaborate directly with innovative technology clients to understand inventions and business objectives, • Conduct patentability, prior art, and freedom-to-operate analyses, • Provide strategic counseling regarding patent portfolio development and intellectual property protection, • Draft responses to USPTO office actions and manage patent prosecution matters, • Advise clients regarding patent strategy involving emerging and cutting-edge technologies, • Work closely with inventors, engineers, and technical teams on sophisticated intellectual property matters, • Manage multiple patent prosecution projects in a fast-paced legal environment, • Support sophisticated domestic and international patent portfolio strategies Qualifications • Minimum 3 years of patent prosecution experience at a law firm, • Strong experience involving AI, machine learning, software, cloud computing, image processing, and/or autonomous vehicle technologies, • Technical degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a closely related field required, • USPTO registration required, • Excellent legal writing, analytical, and communication skills, • Strong organizational and project management abilities, • Ability to independently manage sophisticated patent prosecution matters, • Strong attention to detail and client service orientation, • Team-oriented mindset with strong collaboration skills Education • Juris Doctor (J.D.) from an accredited law school required, • Degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or related technical discipline required Certifications • USPTO registration required Skills • Advanced patent drafting and prosecution abilities, • Strong technical understanding of AI and software technologies, • Experience conducting patentability and freedom-to-operate analyses, • Excellent analytical and problem-solving capabilities, • Strong client communication and counseling skills, • Ability to manage multiple complex patent matters efficiently, • Collaborative and detail-oriented professional approach Culture & Firm Appeal This opportunity is with a highly respected Am Law intellectual property firm known for combining sophisticated IP work with a collaborative and supportive professional environment. The firm has built a strong national reputation for handling cutting-edge patent matters involving some of the most innovative technology companies and emerging growth businesses in the market. Attorneys at the firm work on highly sophisticated intellectual property matters involving advanced technologies while benefiting from a collegial workplace culture that emphasizes flexibility, mentorship, and professional growth. Associates receive meaningful responsibility early in their careers and work directly with experienced IP practitioners on complex and strategically significant patent matters. The firm is especially attractive for attorneys seeking San Francisco legal jobs involving AI, software, and emerging technology patent work within a highly specialized and nationally respected intellectual property platform. Attorneys benefit from exposure to groundbreaking innovations while maintaining a supportive and inclusive work environment. The practice is also widely recognized for its commitment to diversity, inclusion, pro bono work, and workplace equality. Attorneys seeking a sophisticated intellectual property practice with strong culture and long-term career growth opportunities will find this role especially compelling. Why This Role Is Unique • Opportunity to work on cutting-edge AI and software technologies shaping the future of innovation, • Exposure to sophisticated patent prosecution matters involving emerging technologies, • Direct collaboration with innovative technology companies and inventors, • Significant client interaction and strategic patent counseling responsibilities, • Strong mentorship and professional development opportunities, • Collegial and inclusive workplace culture within a nationally recognized IP platform, • Long-term advancement and partner-track opportunities, • Rare opportunity to combine sophisticated patent prosecution work with advanced AI and software technologies This opportunity rarely becomes available at this level and offers attorneys the ability to significantly expand their intellectual property and patent prosecution practice within a premier Am Law IP environment. Benefits • Exposure to cutting-edge technology matters across diverse technical industries, • Flexible scheduling opportunities, • Strong mentorship and professional development support, • Collaborative and inclusive work environment, • Opportunity to participate in meaningful pro bono initiatives, • Sophisticated intellectual property platform with long-term advancement opportunities Call To Action Apply now for a confidential discussion with a BCG Attorney Search recruiter. Submit your resume today to explore this exceptional Patent Prosecution Associate Attorney opportunity in San Francisco. Explore this elite-level intellectual property opportunity and advance your AI and software patent practice with a nationally respected Am Law firm. BCG Attorney Search is the industry leader for placing candidates in permanent positions in law firms. Since 2000, our recruiters have placed several thousand attorneys and enjoyed extraordinarily high success rates with our candidates. As a BCG Attorney Search candidate, you have access to more opportunities than any legal placement firm in the United States. We are able to offer the most in-depth insight in the legal recruiting market thanks to our dedicated team of over 150 employees who mercilessly research, study and analyze the legal market. The depth and breadth of our research empowers us to place attorneys at rates that are unparalleled at any placement firm in the United States. Many of our recruiters make 30 to 40 placements per year, while recruiters at competitor firms are likely to make four or five. Unlike other placement firms that can only tell you about openings at major AmLaw firms, we place candidates of all backgrounds in firms of all sizes. While other legal recruiters only represent a narrow band of candidates from top law firms and top law schools, our research, firm contacts, and market insight allow us to place hundreds of candidates each year who do not fit this mold. It is rare that we do not get candidates we represent interviews and offers. No one in the world is better at legal recruiting and placement than BCG Attorney Search. BCG Attorney Search will confidentially review your application and will not forward your materials to the firm without first discussing the opportunity with you.

$20 - $70/hourpayKritaIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: • Develop ML models that assess our autonomous vehicle's behavior., • Develop ML infrastructure to support performant models., • Collaborate across teams to bring state-of-the-art to production. You have: • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience, • 4+ years of experience building productionized ML models, • Code and design skills: comfort building production systems (Python / C++), • Background in applied Deep Learning, • A track record in improving model quality We prefer: • 6+ years of experience building productionized ML models, • Experience in reinforcement learning, transfer learning, or learning., • Experience with large scale data and models The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations.Our team's mission is to work across the stack, building the best setup for the model to drive. We tackle this through projects in data, modeling, metrics, and the overall planner system. In this hybrid role, you will report to a Technical Lead Manager. You will: • Tackle challenging real-world problems with ML and engineering solutions., • Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles, • Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure, • Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements. You have: • Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience, • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch), • Proficient programming skills (eg: Python, C/C++), • Strong analytical and problem solving skills, • 4+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems We prefer: • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field, • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP, • Prior software development or ML research industry experience (including internships), • General software engineering experience solving motion planning or related robotics problems, • Experience applying or evaluating ML-based systems in production environments, • Experience with performance optimization of deep models, including with respect to specific hardware architectures The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$213,000—$263,000 USD