RVP, Mid-Market Sales San Francisco or New York (New York)

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact‑driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We're looking for a Regional Sales Manager to help grow our Mid‑Market sales team. Reporting to the Head of Revenue, you'll be responsible for working with your team of Account Executives, providing feedback, coaching and training to ensure quota attainment and overall account development. If you’re a builder, who thrives in category creation, is passionate about developing empathetic, solutions‑oriented and highly impact‑driven teams, please apply! If you join us, we know you’ll make a big impact! Here’s what we’re thinking: About You We are seeking a results‑oriented, motivated, and thoughtful sales leader who is laser‑focused on recruiting and developing a team that is responsible for capturing net‑new business within your assigned territory. On a day‑to‑day basis, you will be responsible for overseeing our Account Executives and helping them empower our customers achieve business outcomes. Qualifications: You have 3 years of software sales leadership experience. You will also need to be able to work in the office 3 days a week. You have expert knowledge and experience in building and motivating sales teams, growing pipeline, and hitting revenue targets. Process‑oriented and data‑driven approach to managing forecasts in tools like Salesforce while scaling repeatable sales processes like MEDDPICC and Command of the Message You have consistently achieved sales goals with high seller participation. You are a talent magnet! In this role, you will be asked to be on the constant lookout for the best talent to bring onboard to help us continue to build one of the best companies in the world. You have the curiosity to learn technical concepts and articulate them in a way that highlights business value to senior or executive stakeholders. Track record of developing deep relationships with key partners that align with our strategy to grow High sense of urgency and ownership along with empathy and compassion in your leadership style Responsibilities: Consistently help your team meet or exceed quota Be considered a top‑performing team leader by consistently exceeding team goals Cultivate a team of Account Executives who see consistent month‑over‑month success Serve as a mentor, leader, or coach to other new peers of the team Provide feedback to the executive team on a regular basis and help them steer the company in the right direction. Serve as an active member of the sales leadership team and build strong, collaborative relationships through the Sales, Marketing, Partnerships, Customer Success, Revenue Operations, and Legal teams Work closely with cross‑functional teams like SDR and Marketing to drive an account‑based marketing strategy Ability to work out of our San Francisco office 3x a week On-Target Earnings: $300,000- $350,000 Base Salary: $150,000-$175,000 annually We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre‑screen applicants. J-18808-Ljbffr

General Manager - United States (Maple Grove)

Key Responsibilities Business & Operational Leadership Own overall site performance across safety, quality, delivery, cost, productivity, inventory, employee engagement, and customer commitments. Lead daily, weekly, and monthly operating rhythms to ensure visibility to performance, timely issue escalation, and disciplined follow-through on corrective actions. Ensure standardization, consistency, and effective use of operating systems, management routines, and performance review processes across assigned site(s). Drive operational discipline, execution excellence, and accountability through clear priorities, measurable goals, and consistent leader standard work. Identify operational risks, capacity constraints, resource gaps, and performance trends; develop proactive mitigation plans to protect customer delivery and business results. Strategy Execution Translate enterprise strategy into actionable site-level plans, priorities, KPIs, and communication rhythms that align leaders and employees around business goals. Lead continuous improvement initiatives that improve efficiency, yield, quality systems, flow, labor productivity, and overall operating performance. Support scaling efforts through process discipline, operational readiness, workforce planning, technology adoption, and effective change management. Partner with enterprise leaders to prioritize investments, capabilities, and resources required to meet current and future business needs. Communicate strategy, performance expectations, and progress in a clear, consistent way that builds alignment and accountability across the site. People & Culture Leadership Build, coach, and develop a high-performing cross-functional leadership team capable of delivering results through others. Set clear expectations for performance, behavior, communication, and accountability; ensure leaders consistently model company values and leadership standards. Strengthen employee engagement, retention, and workforce capability through effective communication, development planning, succession planning, and talent review practices. Ensure a strong safety-first, quality-driven culture where employees understand expectations, risks are addressed promptly, and accountability is visible at all levels. Lead through change with transparency, resilience, and practical problem solving, helping teams adapt while maintaining performance and customer focus. Cross-Functional Integration Partner with commercial, engineering, quality, finance, IT, HR, supply chain, and other functional leaders to ensure priorities, resources, timelines, and execution plans are aligned. Resolve cross-functional challenges that impact delivery, quality, cost, employee effectiveness, or customer commitments. Ensure alignment between site operations and enterprise priorities by proactively communicating risks, tradeoffs, opportunities, and resource needs. Facilitate effective decision-making across functions by clarifying ownership, escalating barriers appropriately, and ensuring actions are tracked to completion. Financial Accountability Manage site budget, cost controls, labor planning, capital needs, margin improvement initiatives, and financial performance against plan. Monitor key performance metrics, financial trends, and operating variances; ensure timely root-cause analysis and corrective actions. Partner with finance to develop forecasts, evaluate business cases, manage tradeoffs, and improve profitability while maintaining safety, quality, and customer commitments. Promote cost-conscious decision-making and operational efficiency without compromising compliance, employee safety, product quality, or long-term capability. Leadership Attributes Execution Excellence: Delivers consistent, repeatable results through disciplined operating systems, clear ownership, and strong follow-through. Enterprise Mindset: Balances site needs with broader company priorities and makes decisions that support sustainable growth. Functional Integration: Builds alignment across functions, removes barriers, and ensures teams work together to deliver business outcomes. People Leadership: Develops managers and frontline leaders, creates accountability, and builds a culture of engagement, inclusion, and performance. Customer Focus: Understands customer commitments and drives the organization to meet expectations with urgency, quality, and reliability. Problem Solving: Handles complex, multi-variable operational challenges using data, root-cause analysis, cross-functional input, and practical judgment. Education Bachelor’s Degree required; degree in Business, Operations, Engineering, Supply Chain, or related field preferred. Advanced degree, Lean/Six Sigma certification, or equivalent operational excellence training preferred. Experience 15 years of progressive leadership experience in manufacturing, operations, supply chain, engineering, or a relevant regulated industry. Demonstrated success leading a mid-sized site or multiple smaller locations with accountability for performance, people leadership, and financial outcomes. Strong track record of improving operational performance through continuous improvement, process discipline, cost management, productivity improvement, and quality systems. Experience leading cross-functional, matrixed teams and driving accountability across functions that may not directly report to the role. Experience operating in customer-facing environments where delivery, responsiveness, quality, and relationship management are critical to business success. Experience developing leaders, building succession strength, and improving organizational capability during periods of growth, complexity, or change. Capabilities Strong operational leadership and execution discipline, including the ability to translate priorities into clear plans, metrics, ownership, and results. Working knowledge of regulated environments, quality systems, and compliance expectations such as FDA, ISO, GMP, or comparable standards. Financial acumen in budgeting, forecasting, cost management, margin improvement, capital planning, and performance metrics. Ability to lead through change, scale operations, build organizational capability, and drive continuous improvement across people, process, systems, and culture. Strong communication and influencing skills with the ability to align senior leaders, functional partners, managers, and frontline employees. Data-driven decision-making capability, including the ability to interpret operational, financial, quality, workforce, and customer metrics to prioritize action. What You Should Know About Us ATL, headquartered in Springville, Utah, partners with medical technology Original Equipment Manufacturers, including eight of the top ten medical device companies, and has stable, long-standing relationships with its customers, supplying end‑product programs that last five‑to‑ten‑plus years. The Company currently works in the following markets: Interventional, Minimally Invasive, Electrophysiology, Electrosurgical, Patient Monitoring, and Imaging. The Company has global manufacturing capabilities, with locations in the United States, Costa Rica, Wales, China and Taiwan. Our Values Honesty: We are truthful, transparent, and fair, communicating openly and honestly; maintaining integrity by all standards. Excellence: ATL's excellence originates from our customer‑centric approach to business. We commit to consistently delivering superior quality products, services and results to exceed expectations. Accountability: We accept responsibility for our actions and hold each other accountable to create a collaborative environment. Respect: We approach our work with humility, recognizing the value each person brings regardless of their views and/or opinions. Teamwork: Teamwork is essential to creating an innovative environment. Individuals with different backgrounds, ideas, and perspectives strengthen and improve ATL. What's In It For You Competitive salary Medical, Dental, Vision, and HSA plans. Life, AD&D, STD, LTD plans to help protect you and your loved ones. Generous 401k plan with Employer Match. Paid Holidays, PTO, and other leave programs to support your time off needs. EEO Statement ATL Technology provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. J-18808-Ljbffr

Associate Director, Global Sales Analytics Engineering - Business Decision Intelligence (Franklin Lakes)

We Are The People Who Give Possibilities Purpose BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. Job Description Role Summary The Associate Director, Global Sales Analytics Engineering Lead is the senior people leader responsible for the strategy, delivery, and continuous evolution of the commercial analytics semantic layer and business intelligence engineering function. This role owns the enterprise vision for how commercial sales data is modeled, governed, and consumed by business users globally — and builds the team, operating model, and platform capabilities required to deliver governed, scalable, and trusted analytics at scale. A defining priority for this role is leading the transformation of the commercial analytics function from reactive, dashboard-centric reporting to a proactive, AI-ready analytics model — where governed data products, predictive signals, and intelligent alerting replace static reports as the primary vehicle for commercial insight delivery. This leader will champion the architectural and cultural shift required to move the organization from answering yesterday's questions to anticipating tomorrow's decisions. As a member of the commercial analytics leadership team, this role partners directly with peers across Commercial Data Product Strategy, Decision Science & AI, Data Engineering, and IT to shape the enterprise data and analytics platform roadmap. The Associate Director leads a team of JG3–JG5 analysts and senior individual contributors, setting performance expectations, developing talent, and creating a culture of technical craftsmanship, stakeholder focus, and continuous improvement. Key Responsibilities Team Leadership & Organizational Development Lead, manage, and develop a high‑performing team of Analytics Analysts (JG3–JG5) and senior individual contributors across semantic layer engineering and BI development disciplines. Set clear performance expectations, provide ongoing coaching and feedback, and conduct formal performance and development reviews for all direct reports. Own team hiring, onboarding, and workforce planning in partnership with HR and analytics leadership, ensuring the team has the skills and capacity to deliver on the roadmap. Build a team culture of technical excellence, accountability, stakeholder orientation, and continuous improvement. Represent the analytics engineering function on the commercial analytics leadership team, contributing to cross‑functional strategy, prioritization, and organizational decisions. Enterprise Semantic Layer Strategy & Governance Define and own the enterprise semantic layer strategy for commercial sales analytics — establishing the long‑term vision for how business metrics, dimensions, and hierarchies are governed and consumed globally. Set the direction for semantic layer architecture across tooling platforms, ensuring scalability, consistency, and alignment to enterprise data governance and access control standards. Serve as the ultimate authority on semantic layer design trade‑offs, resolving escalated conflicts between business metric definitions and physical data model constraints. Partner with Commercial Data Product Strategy to co‑own the enterprise business glossary, metric registry, and commercial KPI framework. Lead cross‑functional governance forums to align commercial stakeholders, data engineering, and enterprise architecture teams on metric definitions, calculation methodologies, and data lineage. Global Self‑Service Analytics Operating Model Own the global self‑service analytics operating model — defining the standards, tooling, enablement programs, and governance processes that allow commercial users across all Regions and Business Units to access governed insights independently. Define self‑service maturity frameworks, adoption KPIs, and investment priorities, using data to demonstrate business value and guide platform decisions. Champion data literacy across the commercial organization through executive‑level enablement programs, community of practice initiatives, and structured user education. Drive the elimination of bespoke reporting by leading the design of modular, reusable analytics asset libraries that accelerate insight delivery at scale. Analytics Platform & BI Engineering Excellence Lead the evaluation, selection, and adoption of semantic layer, BI, and analytics platform capabilities in partnership with IT, Data Engineering, and enterprise architecture teams. Establish and enforce BI development standards, design systems, component libraries, and UX/UI principles that ensure consistent, high‑quality analytics experiences across the commercial organization. Ensure all semantic layer assets and BI deliverables meet data governance, privacy, access control, and regulatory compliance requirements. Drive continuous improvement of platform performance, semantic layer health, and report reliability through structured operational reviews and engineering best practices. Agentic AI Development & Training Define and drive the enterprise strategy for agentic AI integration within the commercial analytics platform, establishing the vision for how AI agents consume, generate, and augment governed semantic layer assets. Lead the architecture and governance of AI training data programs, ensuring commercial analytics outputs used for model development meet quality, lineage, and compliance standards. Partner with Decision Science & AI and enterprise architecture teams to define reference architectures for agentic AI workflows embedded in commercial reporting, forecasting, and decision intelligence use cases. Establish enterprise‑wide standards for prompt engineering, AI output validation, and human‑in‑the‑loop governance across commercial analytics agentic workflows. Represent the analytics function in senior cross‑functional forums on AI platform strategy, contributing to investment decisions, risk governance, and responsible AI frameworks. Mentor JG3 and JG4 analysts in agentic AI development and training practices, fostering a culture of responsible, governed AI adoption within the commercial analytics team. Track and assess the maturity of agentic AI capabilities across the commercial analytics ecosystem, defining roadmap priorities and success metrics that align to enterprise AI strategy. Transformation from Reactive Reporting to Proactive, AI‑Ready Data Products Own and drive the strategic transformation of commercial analytics from reactive dashboard reporting to proactive, AI‑ready data products — establishing the vision, roadmap, and delivery model for this multi‑year capability shift. Redesign the analytics asset portfolio to prioritize intelligent, event‑driven data products that surface insights, anomalies, and recommendations proactively — reducing reliance on manually‑queried dashboards and static reports. Partner with Decision Science & AI teams to architect semantic layer and data product foundations that are consumption‑ready for machine learning models, predictive analytics, and AI‑generated insights. Define and enforce data product standards — including freshness SLAs, semantic consistency, access controls, and lineage documentation — that enable safe, scalable AI and analytics consumption across the commercial organization. Lead the commercial organization through the cultural and behavioral change required to shift from pull‑based report consumption to proactive, insight‑driven workflows, working closely with business leaders to drive adoption. Establish metrics to track the function's progress on the reactive‑to‑proactive transformation, including reductions in ad‑hoc report requests, increases in proactive alert adoption, and AI model consumption of governed data products. Executive Stakeholder Engagement & Strategic Influence Build and maintain trusted relationships with senior commercial leaders across Regions and Business Units, acting as a strategic analytics advisor and translating complex business needs into platform and capability investments. Represent the analytics engineering function in enterprise data strategy forums, contributing to platform investment decisions, vendor evaluations, and governance policy. Partner with the Decision Science & AI team to ensure semantic layer assets support AI model explainability, output visualization, and executive decision dashboards. Communicate team roadmap, delivery progress, and platform performance to analytics leadership and senior commercial stakeholders on a regular cadence. Qualifications Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field required. Advanced degree strongly preferred. Demonstrated experience leading or contributing to a transformation from reactive BI/reporting to proactive, AI‑ready data products — including data product design, semantic layer modernization, or analytics platform re‑architecture. 8 years of progressive experience in analytics, business intelligence, or data engineering, with demonstrated increasing scope and seniority. 3 years in a formal people leadersh