Market Manager - Virginia / Washington, D.C.

🏢 Summary: Market Manager role focused on driving sales growth and dealership relationships for automotive AI and marketing solutions. The position involves identifying dealer needs, aligning product solutions, managing sales pipelines, and expanding market penetration. Candidates need automotive industry experience, sales expertise, and familiarity with CRM and outreach tools. 🗂️ Requirements: Bachelor's degree or equivalent experience, 5+ years of sales experience, Experience in the automotive industry, Experience with Salesforce, Experience with presentation tools, Experience with Outreach, Proven track record of sales success, Ability to manage dealer relationships and sales pipelines 📃 Skills: Salesforce, Outreach, CRM, Sales, Automotive, Marketing, AI, MachineLearning 🏢 Description: Lotlinx provides automotive AI and machine learning powered technology focused on digital marketing, risk management, and strategic inventory management for automobile dealers and manufacturers. Role Details The Market Manager builds and maintains influential relationships with customers and dealers by creating demand for Lotlinx products and proactively offering solutions. This role generates sales with new dealerships, increases market penetration, and contributes revenue while working with client launch teams, sales development, account management, and other business partners. Key Responsibilities - Uncover dealer pain points and sales opportunities - Align Lotlinx solutions to dealer business needs - Build consensus on proposals and secure agreements - Ensure dealer activation and smooth transition to account management - Build and manage a sales pipeline - Meet activity and revenue targets - Use best practices and knowledge of business issues to improve products, services, or processes - Act as a resource for less experienced colleagues - Complete additional projects as needed What You'll Be Doing Day-to-Day Demand Creation: - Identify and address technical needs of complex, emerging, or underpenetrated prospects - Utilize understanding of Lotlinx solutions to align them with customer business needs - Drive and create new opportunities within assigned accounts Account Management: - Create selling opportunities through a planned discovery process - Develop understanding of customer needs and translate them into tailored product solutions - Execute solution selling using knowledge of Lotlinx products and design processes - Drive profit growth and maximize margins through value-added, long-term solutions - Build dealership relationships at multiple levels - Grow market share and sales What We Are Looking For - In-depth knowledge and experience in the automotive industry and dealerships - Complex problem-solving skills - Strong communication and high energy - Self-motivated and ambitious mindset - Well-organized with ability to multitask and manage time effectively - Team player mentality - Revenue-focused and customer-focused approach - Ability to work independently with minimal guidance Requirements - Bachelor's degree or equivalent experience - 5+ years of sales experience preferred - Experience with presentation tools, Salesforce, and Outreach - Proven track record of sales success - Experience in the automotive industry is required - Existing in-market dealer relationships highly preferred Compensation and Benefits - $85,000 base salary plus uncapped commissions - Medical, Dental, and Vision benefits - Matching 401(k) Lotlinx is committed to equal opportunity employment. Lotlinx is not currently able to offer sponsorship for employment visa status.

🏢 Summary: Strategic enterprise sales leadership role focused on driving growth within large automotive dealer groups across the Midwest and West. The position centers on building corporate-level partnerships, closing multi-rooftop agreements, and aligning technology solutions with dealership operational and inventory strategies. Offers a high-impact opportunity with competitive base salary and commission structure. 🗂️ Requirements: 7+ years automotive industry experience, 5+ years experience selling to large dealer groups or enterprise automotive organizations, Proven experience closing multi-rooftop agreements, Experience selling SaaS or technology solutions at enterprise level, Strong understanding of dealership retail operations and buying structures, Established relationships with large dealer groups, Strong executive presence and business acumen, Authorization to work without visa sponsorship 📃 Skills: SaaS, EnterpriseSales, AutomotiveRetail, DigitalMarketing, RiskManagement, InventoryManagement, CRM, Negotiation 🏢 Description: Job Summary We are expanding and seeking a highly strategic, relationship-driven sales leader to drive growth within large dealer groups in the midwest/west. This role is focused on enterprise-level partnerships rather than single-store transactions. The right candidate understands how large dealer groups buy, budget, and scale technology across rooftops and knows how to align corporate strategy with store-level execution. This is an opportunity for a high-impact professional who wants to operate at a strategic level and build meaningful, long-term partnerships within some of the most influential dealer groups in the country. Key Responsibilities - Develop and expand corporate-level relationships within large dealer groups. - Navigate complex buying structures across executive leadership, operations, marketing, and rooftop management. - Drive multi-store agreements and long-term strategic partnerships. - Identify underpenetrated opportunities and grow the enterprise footprint. - Lead performance-based conversations centered on operational impact, inventory strategy, OEM alignment, and measurable ROI. - Partner cross-functionally to ensure successful implementation and retention. Qualifications - 7+ years automotive industry experience. - 5+ years selling to large dealer groups or enterprise automotive organizations. - Retail dealership experience combined with vendor experience is strongly preferred. - Proven track record closing multi-rooftop agreements. - Strong executive presence and business acumen. You Are - Deeply rooted in the automotive industry with established dealer group relationships. - Experienced selling SaaS or technology solutions at the enterprise level. - Equally fluent in the boardroom and the showroom. - A strategic operator who understands dealership retail operations, buying structures, and corporate decision-making. - A self-driven leader who thrives in complex, high-accountability environments. Compensation and Benefits Pay: $100,000 - $120,000 base salary + a generous commission structure (OTE potential is $200,000 - $300,000) Benefits: Medical, Dental, Vision, Matching 401k. Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Lotlinx is not currently able to offer sponsorship for employment visa status.

🏢 Summary: Strategic enterprise sales role focused on driving multi-store partnerships with large automotive dealer groups across the Midwest and West. The position centers on selling SaaS and technology solutions at the corporate level, aligning dealership operations, inventory strategy, and measurable ROI. Offers high earning potential with base salary plus commission and comprehensive benefits. 🗂️ Requirements: 7+ years automotive industry experience, 5+ years experience selling to large dealer groups or enterprise automotive organizations, Proven experience closing multi-rooftop agreements, Experience selling SaaS or technology solutions at enterprise level, Strong understanding of dealership retail operations and buying structures, Established relationships within large dealer groups, Strong executive presence and business acumen, Authorized to work without visa sponsorship 📃 Skills: SaaS, AI, MachineLearning, DigitalMarketing, RiskManagement, InventoryManagement, CRM, Salesforce 🏢 Description: Job Summary We are expanding and seeking a highly strategic, relationship-driven sales leader to drive growth within large dealer groups in the midwest/west. This role is focused on enterprise-level partnerships rather than single-store transactions. The right candidate understands how large dealer groups buy, budget, and scale technology across rooftops and knows how to align corporate strategy with store-level execution. This is an opportunity for a high-impact professional who wants to operate at a strategic level and build meaningful, long-term partnerships within some of the most influential dealer groups in the country. Key Responsibilities - Develop and expand corporate-level relationships within large dealer groups. - Navigate complex buying structures across executive leadership, operations, marketing, and rooftop management. - Drive multi-store agreements and long-term strategic partnerships. - Identify underpenetrated opportunities and grow the enterprise footprint. - Lead performance-based conversations centered on operational impact, inventory strategy, OEM alignment, and measurable ROI. - Partner cross-functionally to ensure successful implementation and retention. Qualifications - 7+ years automotive industry experience. - 5+ years selling to large dealer groups or enterprise automotive organizations. - Retail dealership experience combined with vendor experience is strongly preferred. - Proven track record closing multi-rooftop agreements. - Strong executive presence and business acumen. You Are - Deeply rooted in the automotive industry with established dealer group relationships. - Experienced selling SaaS or technology solutions at the enterprise level. - Equally fluent in the boardroom and the showroom. - A strategic operator who understands dealership retail operations, buying structures, and corporate decision-making. - A self-driven leader who thrives in complex, high-accountability environments. Pay $100,000 - $120,000 base salary + a generous commission structure (OTE potential is $200,000 - $300,000) Benefits Medical, Dental, Vision, Matching 401k. Lotlinx is not currently able to offer sponsorship for employment visa status.

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Lead and scale a customer-facing Agentic AI platform, owning prompt architecture, LLM integrations, and emerging AI investments such as voicebots and computer use. Drive consolidation of distributed prompt systems into a unified platform while guiding technical prioritization and OpenAI partnership strategy. Work hands-on with internal AI infrastructure and cross-functional teams to shape the future AI architecture. 🗂️ Requirements: 3+ years in a technical role (e.g. forward deployed engineering, technical product management), Experience building and scaling AI systems in production, Strong understanding of LLMs and generative AI systems, Ability to design and discuss API architecture and system design, Experience consolidating or standardizing technical platforms, Proficiency in SQL for data analysis, Experience working in fast-paced startup environments, Ability to translate complex technical concepts to diverse audiences 📃 Skills: LLMs, SQL, APIs, Prompting, GitHub, Replit, CRM, Propelix, Botly, Voicebot, OpenAI 🏢 Description: Why we’re hiring this role: Your car and your home are your most important assets, yet the experience of owning one is fragmented, complicated, and expensive. We are building the first app to manage the entire journey including buy/sell, insurance, maintenance, and repairs. We launched car insurance in 2019 and became one of the top three brokers in the country, in part by being early adopters of generative AI. Before off-the-shelf platforms existed, we built our own infrastructure to automate sales and service conversations. Today, that system handles a meaningful share of customer interactions end-to-end, and the underlying technology is entirely homegrown. That head start created leverage but also complexity. Prompts powering the customer-facing chatbot, vehicle photo validation, and back-office automation live across six separate locations with no single source of truth or unified platform. This role owns consolidating and defining the future AI roadmap, including voicebot, computer use, and consumer AI applications. How you’ll make an impact: Your scope covers maintaining the current AI platform while driving architectural decisions for its future state. In the first few months, you will learn the prompt engineering workflow by writing and updating prompts, understanding how various tech stacks (e.g. Propelix, Botly, CRM, GitHub, and Replit) interact, and identifying bottlenecks. After that, you will own the platform strategy: - Prompt consolidation: Define and execute the migration strategy from six locations to a unified platform, aligning engineering, data, and operations teams. - Chatbot prioritization: Own the technical prioritization queue and coordinate execution without adding unnecessary process. - Emerging technology decisions: Track advancements in voicebot and computer use, determine investment timing, own the OpenAI relationship, and manage presence in the ChatGPT store. Who you are: - Technologist: Deeply engaged with AI advancements and experienced in building custom workflows. - Systems Thinker: Comfortable discussing API design and system architecture and translating complex ideas. - Experimenter: Continuously exploring new AI capabilities. - Data-Driven: Familiar with SQL and comfortable analyzing data to validate hypotheses. - Pragmatic: Able to navigate technical tradeoffs and implement AI platform standards. Ideal experience: - 3+ years in a technical role such as forward deployed engineering or technical product management at a fast-paced startup. - Passion for AI systems including modern LLMs. - Track record of turning complex strategic ideas into scalable, production-grade products. Compensation and Benefits: The successful candidate’s starting pay will fall within the listed pay range and is determined by skills, experience, qualifications, work location, and market conditions. Compensation may include equity grants. Benefits include health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits. Equity opportunities may be part of the total rewards package. We are an Equal Employment Opportunity employer and provide reasonable accommodations for individuals with disabilities in the job application process.

🏢 Summary: Leadership role responsible for driving inbound sales pipeline growth, market expansion, and revenue acceleration within a highly regulated pharmacy environment. The position leads sales development strategy, team performance, AI-driven analytics adoption, and cross-functional collaboration to optimize forecasting, prospecting, and operational execution. Focused on scalable processes, compliance, and data-driven decision-making to achieve aggressive commercial targets. 🗂️ Requirements: Bachelor's degree in Business, Marketing, Communications, Healthcare Administration or related field, Minimum 5 years experience in sales development, business development, inside sales, or commercial operations, Minimum 3 years direct people leadership experience, Experience with CRM platforms and sales engagement technologies, Experience using AI-enabled analytics and business tools, Strong knowledge of inbound sales methodologies and pipeline management, Experience in regulated, fast-paced environments, Valid driver's license 📃 Skills: CRM, AI, Analytics, Forecasting, Automation, Reporting, Segmentation, LeadScoring, Dashboards, Workflow, SalesEngagement 🏢 Description: POSITION SUMMARY The Manager, Sales Development drives pipeline generation, market expansion, and revenue acceleration by leading a high-performing inbound sales organization within a hyper-growth, highly regulated 503A and 503B pharmacy environment. This role owns sales development strategy, prospecting execution, talent performance, forecasting accuracy, and cross-functional alignment across commercial operations, marketing, analytics, and customer engagement initiatives. The leader leverages AI as a force multiplier to increase speed, scale, lead quality, workflow efficiency, and data-driven decision-making while strengthening operational rigor and customer acquisition outcomes. RESPONSIBILITIES Sales Leadership Pipeline Ownership: Lead and optimize the sales development function by establishing scalable inbound strategies, driving qualified pipeline growth, and aligning prospecting priorities with enterprise revenue objectives. Utilize AI-enabled analytics, workflow automation, and performance intelligence tools to improve targeting precision, accelerate conversion velocity, and enhance forecasting accuracy. Coach high-performing teams through structured accountability, measurable execution standards, and continuous development practices. Talent Development: Recruit, develop, and retain high-performing sales development talent within a fast-paced, highly regulated healthcare environment. Implement structured onboarding, coaching frameworks, and performance management processes. Leverage AI-driven coaching insights, conversation intelligence, and productivity analytics to personalize development plans and accelerate performance outcomes. Performance Execution: Drive operational excellence through disciplined management of sales activity metrics, pipeline health, prospect engagement, and conversion performance. Establish rigorous performance expectations and implement corrective actions to improve efficiency and accountability. Utilize AI-powered dashboards, predictive insights, and reporting tools to strengthen decision-making and optimize resource allocation. Market Expansion Prospecting Strategy: Design and execute targeted inbound prospecting initiatives that expand market reach and accelerate customer acquisition. Partner with marketing, sales leadership, and commercial operations to align outreach strategies with business priorities. Utilize AI-enabled segmentation, lead scoring, and behavioral insights to improve prospect quality and engagement strategies. Customer Engagement: Establish consistent communication standards and data-informed outreach strategies aligned with growth objectives. Collaborate cross-functionally to ensure seamless customer experiences while maintaining regulatory compliance. Leverage AI-supported engagement tools and automation platforms to increase responsiveness and improve conversion effectiveness. Growth Alignment: Align sales development initiatives with enterprise growth strategy by translating priorities into measurable execution plans and operational targets. Apply AI-enabled forecasting, trend analysis, and performance monitoring tools to identify opportunities and accelerate growth initiatives. Operational Excellence Process Optimization: Improve sales development processes and workflows to support scalability and execution rigor. Establish performance benchmarks and implement solutions that enhance productivity and customer acquisition outcomes. Utilize AI-driven automation and reporting capabilities to streamline activities and improve data accuracy. Data Governance: Ensure integrity and accuracy across sales development data and reporting systems. Partner with commercial operations and analytics teams to standardize measurement practices and improve business intelligence. Leverage AI-powered analytics platforms to identify trends and optimize pipeline management. Compliance Management: Maintain adherence to organizational policies and regulatory requirements within a highly regulated environment. Reinforce accountability and ethical conduct across all sales development activities. Utilize AI-enabled monitoring tools and workflow controls to strengthen compliance visibility and reduce operational risk. Cross-Functional Collaboration Strategic Partnership: Build collaborative partnerships across sales, marketing, analytics, customer engagement, and operational teams to support scalable growth. Utilize AI-supported collaboration platforms and reporting tools to improve transparency and execution. Business Communication: Deliver clear communication to executive leadership and stakeholders regarding performance results and strategic priorities. Translate complex data into actionable business insights using AI-driven reporting and visualization tools. Innovation Leadership: Identify emerging technologies and process enhancements to strengthen sales development effectiveness. Encourage continuous learning and data-driven experimentation while maintaining operational discipline within a regulated environment. KNOWLEDGE AND SKILLS - Expertise leading sales development organizations and inbound prospecting strategies - Proficiency with CRM platforms, sales engagement technologies, AI-enabled analytics tools, forecasting systems, workflow automation, and reporting tools - Strong communication, coaching, and stakeholder management skills - Ability to optimize business processes and implement scalable solutions in regulated environments EXPERIENCE AND QUALIFICATIONS - Bachelor's degree in Business, Marketing, Communications, Healthcare Administration, or related field required; Master's preferred - Minimum 5 years of progressive experience in sales development, business development, inside sales, or commercial operations leadership - Minimum 3 years of direct people leadership experience - Experience utilizing CRM platforms, sales engagement technologies, analytics tools, and AI-enabled business solutions - Strong understanding of inbound sales methodologies, prospecting strategies, and pipeline management - Experience operating within highly regulated, fast-paced environments - Valid driver's license required - Preferred certifications: CSP, CBDP, SSLC or related credentials Employee Benefits, Health and Wellness: Comprehensive benefits including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: Role requires frequent communication, prolonged stationary work, regular computer use, movement around the office and campus, and physical activities such as standing, walking, reaching, climbing, balancing, stooping, kneeling, crouching, or crawling.

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: The Sales Development Representative is responsible for generating and qualifying new business opportunities within the manufacturing sector, driving top-of-funnel pipeline growth. The role focuses on outbound prospecting, inbound lead follow-up, and close collaboration with Sales and Marketing using CRM and outreach tools. It is a performance-driven position with clear impact on revenue growth and long-term sales career development. 🗂️ Requirements: 1–2 years in outbound sales or business development, Experience meeting or exceeding activity and pipeline KPIs, Ability to communicate with Director, VP, and C-level stakeholders, Experience with structured outbound prospecting processes, Ability to manage CRM activity tracking and pipeline hygiene, Experience working in fast-paced, high-growth environments 📃 Skills: HubSpot, Salesforce, LinkedIn, ZoomInfo, CRM, Prospecting, Outreach, LeadGeneration 🏢 Description: About the team The Go-To-Market Team ensures customers realize measurable value from deployed automation solutions. From pre-deployment coordination through onboarding and long-term engagement, the team drives adoption, strengthens relationships, and ensures meaningful operational outcomes. Customer Success connects customers with internal teams, ensuring clear expectations, proactive communication, coordinated execution, and continuous product improvement through feedback. About the role As a Sales Development Representative, you will serve as the front line of pipeline generation. You will identify, engage, and qualify manufacturing prospects, translating market interest into meaningful sales conversations. This is a high-visibility, performance-driven role with direct impact on company growth, working closely with Sales and Marketing to drive top-of-funnel momentum. Responsibilities - Identify and prospect target manufacturing accounts across SMB, mid-market, and enterprise segments - Generate marketing qualified leads and schedule meetings for Account Executives - Follow up on inbound interest from form submissions, webinars, trade shows, and campaigns - Build outbound prospecting lists and execute multi-channel outreach via phone, email, and social platforms - Monitor website engagement and identify high-intent prospects for proactive outreach - Create and test outreach sequences to improve response and conversion rates - Leverage tools including HubSpot, Salesforce, LinkedIn, and ZoomInfo to manage outreach and pipeline - Collaborate with Sales and Marketing to align messaging and improve campaign effectiveness - Maintain disciplined activity tracking and CRM hygiene What makes you a great fit - 1–2 years of success in a structured outbound sales or business development environment - Demonstrated ability to meet or exceed activity and pipeline KPIs - Comfort communicating with Director, VP, and C-level stakeholders via phone and email - Process-oriented mindset with strong attention to detail - Ability to operate effectively in a fast-paced, high-growth environment - Strong internal motivation and desire to build a long-term sales career - Collaborative team player with competitive drive Bonus - Experience selling into industrial automation, manufacturing, or other B2B industrial environments Total Rewards - Equity participation through stock option program - Competitive and uncapped commission structure - Medical, dental, and vision insurance with high employer contribution - FSA, DCFSA, life insurance, short-term and long-term disability coverage - Employee Assistance Program - Paid parental leave up to 12 weeks - Company-sponsored 401(k) - Home office stipend for remote and hybrid employees - Monthly cell phone reimbursement - Flexible paid time off policy Compensation - Base salary range: $55,000—$65,000 USD

🏢 Summary: Sales Manager role focused on leading and developing an enterprise account executive team, driving inbound and outbound sales growth, and managing sales operations and CRM processes. The position involves coaching sales teams, coordinating with operations and marketing, and using data-driven reporting to exceed revenue goals in a manufacturing-focused environment. 🗂️ Requirements: Bachelor's degree in business or related field or equivalent experience, 6+ years of sales experience, 2+ years of management or team lead experience, Experience with inside sales and new business development, Experience implementing outbound sales strategies, Ability to articulate value propositions and ROI, Experience leading and developing sales teams, Ability to work in office 3 days per week, Ability to travel as needed 📃 Skills: Salesforce, CRM, Sales, Forecasting, Manufacturing, ROI 🏢 Description: The Sales Manager is responsible for supervising and organizing the enterprise accounts team. This role focuses on managing organizational sales by developing business plans, exceeding sales goals, coordinating with marketing on lead generation, and overseeing the performance and development of the sales team. How You'll Contribute: - Build and manage a high-performing Account Executive team focused on inbound sales motion and growth of existing accounts - Recruit, hire, train, and develop team members to consistently exceed sales goals - Coordinate with sales and operations teams to support deal execution and optimize sales processes - Monitor employee productivity and motivate the team to achieve daily and monthly targets - Implement best practices in sales pipeline management - Ensure accurate and complete information is maintained in Salesforce CRM - Use CRM tools to manage and analyze sales activities and pipeline health - Supervise the team according to company policies and procedures - Conduct interviews, onboarding, and staff hiring activities - Provide ongoing coaching, training, and development to improve product knowledge and sales performance - Report sales metrics, opportunities, and risks to senior management - Use data-driven insights to forecast revenue and identify improvement areas - Develop an understanding of ideal customers and tailor sales strategies to improve customer engagement What You'll Bring: - Bachelor's degree in business or related field, or equivalent experience - 6+ years of sales experience - 2+ years of management or team lead experience - Proven experience in inside sales and new business development - Experience implementing aggressive outbound sales strategies - Knowledge of technical sales and manufacturing preferred - Ability to communicate value propositions and ROI effectively - Strong customer service and relationship-building skills - Ability to train, develop, and lead a successful sales team - Ability to work in the office 3 days per week and travel as needed Compensation and Benefits: - Base salary range: $125,000–130,000 annually plus commission - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off including vacation, sick leave, holidays, maternity, and bonding leave - Employee assistance and wellbeing resources Additional Information: - Equal opportunity employer - Participation in E-Verify for U.S.-based roles

🏢 Summary: Machine Learning Engineer role focused on designing, building, and deploying production ML systems across Lyft Business, including pricing, fraud detection, marketplace optimization, and agentic AI applications. The position involves owning models end-to-end, developing scalable ML infrastructure, and translating business problems into impactful ML solutions. The role operates in high-scale environments influencing revenue, operations, and user experience. 🗂️ Requirements: Experience with GenAI and LLM ecosystems, Experience building and deploying production ML models, Experience with pricing, marketplace, or fraud ML problems, Experience with feature engineering and ML pipelines, Experience with cloud ML services, Ability to productionize research prototypes, Experience running experiments and evaluating ML performance, Ability to design scalable ML systems, Proficiency in writing production-quality code 📃 Skills: Python, MachineLearning, LLM, GenAI, RAG, LangChain, LangGraph, SageMaker, Bedrock, AWS, GraphNN, KnowledgeGraphs, NetworkAnalysis, APIs, Experimentation 🏢 Description: At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. Responsibilities: Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions Contribute to team engineering standards — code quality, observability, documentation, and testing practices Experience: Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) Experience with pricing, marketplace, or fraud-related ML problems Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.