Jellyvision

• Drive beneficiary engagement for MyALEXHealth. • Own social media strategy and manage influencer relationships. • Build partnerships for credibility and visibility. • Own and optimize the website. • Conduct competitive research. • Create marketing content such as emails and case studies. • Manage leads and customers using Hubspot. • Monitor performance and report insights. • Ensure compliance with Medicare marketing rules.

• Lead and coach (4-6) new logo Account Executives, holding them to a high bar on activity, pipeline quality, and execution. • Own the team's new logo bookings target; forecast accurately and manage the business with discipline through weekly 1:1s, pipeline reviews, and deal inspection. • Coach reps through complex, multi-threaded sales cycles. From prospecting and discovery to business case development, executive alignment, and close. • Build and execute the broker channel motion: coach the team to develop, nurture, and activate relationships with benefits brokers and consultants who source, influence, and refer deals and to cosell effectively alongside them. • Drive adoption of a consistent sales methodology and qualification framework (e.g., MEDDPICC / Command of the Message) across both direct and broker-sourced opportunities. • Partner with Marketing and BDRs to generate and prioritize pipeline, and with Solutions Architects to align demos and proofs to buyer pain. • Get directly involved in strategic and at-risk deals by guiding negotiation, navigating procurement, and unblocking stalled opportunities. • Recruit, onboard, and ramp new sellers; build a bench and a culture people want to be part of. • Surface market and competitive insight from the field and feed it back to product, marketing, and leadership.

• Implement and deliver ALEX to customers • Troubleshoot customer issues and resolve them delightfully • Collaborate with internal teams to find helpful solutions • Analyze customer benefit packages and customer-specific software builds to determine fit with Jellyvision’s proprietary software • Document and communicate any customer-product fit issues you identify both internally and externally and propose ways to resolve them • Build excellent rapport with customers • Communicate project schedules and progress to customers so that they always know where we are in completing each release • Think at least two steps ahead to try to make everyone’s lives smoother and happier • Document process and product issues and ideas for improvement so that we are continually getting better at what we do and how we do it

• Drive new business by setting meetings with qualified contacts at US employers • Make 80-100 cold calls a day. • Utilize Salesforce, Outreach, and Linkedin Sales Navigator with proficiency • Craft high touch emails using excellent written communication skills • Identify pain points through researching companies on Linkedin, Glassdoor, and company websites • Set a minimum of 3-7 qualified meetings a week (depending on the territory and product.) • Scout LinkedIn and other resources for contacts and research, adding anywhere from 30-50 new prospects into sequence per day • Collaborate and communicate with your team and other departments to improves sales processes • Report to designated manager to strategize more effective and creative sales methods • Transform cold calls into something informative and delightful

• As a Senior Data Platform Engineer, you’ll be a hands-on engineer on a small, high-ownership data team. • You’ll work across the full data platform - relational, warehouse, and lakehouse systems - building and operating the pipelines that power compliance, analytics, and reporting workloads. • Design and build pipelines that move data across systems - supporting data lake ingestion, compliance workloads, and cross-domain data flows. • Own pipeline operations end to end: monitoring, incident resolution, data quality, and documentation that lets any team member respond independently. • Identify technical debt and reliability risks and raise them with clear context and proposed next steps. • Design and maintain schemas across relational, warehouse, and lakehouse layers, working with application engineers and product to get data models right. • Build out the platform’s service layer, infrastructure-as-code, and data quality frameworks - this role spans design and implementation. • Keep platform documentation at a level where any team member can understand what exists, how it works, and where the risks are. • Over time, contribute to the analytics engineering layer, including modeling practices and semantic layer development. • Contribute to evaluations of the current platform against emerging architectures and tooling, helping produce trade-off analyses and recommendations. • Bring what you see day to day in the systems you operate into the team’s improvement roadmap and technical direction. • Track and report on platform health metrics: pipeline uptime, failure rates, data freshness, and cost trends. • Mentor peers and junior engineers through code review, pairing, and technical guidance.

• Directly manage a team of software engineers—owning their development, quality bar, and technical direction • Coach and mentor engineers to sharpen skills, design better systems, and develop sound judgment about when and how to use AI tools effectively • Organize and assign work alongside the Technical Lead and Product Owner, breaking it into right-sized pieces that maximize efficiency • Balance feature work with maintenance, tech debt, and internal support • Set a high bar for technical quality across our JavaScript (React) and Python stack; you're accountable for the team's output • Model and encourage fluent, responsible use of AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate delivery and reduce toil • Help engineers develop sound judgment about AI-generated output—when to trust it, when to push back, and how to prompt effectively • Stay current on AI tooling; evaluate new tools with a practical, outcomes-focused lens and bring relevant advances to the team • Identify opportunities for AI to improve team workflows: code review, test generation, documentation, incident analysis • Contribute to org-wide conversations about AI governance, appropriate use, and engineer skill development • Handle team logistics: performance management, hiring, right-sizing, training, and promotions • Partner with the Product Owner to ensure work is designed, developed, and tested to high quality standards and aligned with the architecture vision • Proactively communicate delivery targets, commitments, and progress • Drive operational excellence through team metrics (DORA, SLIs, CI/CD health, security vulnerabilities, infra cost/usage) • Mitigate risks proactively, escalate when needed, and collaborate across teams to find solutions

• Design and execute integrated, multi-channel campaigns aligned to ICP segments and verticals • Build 1:many, 1:few, and 1:1 ABM plays in partnership with Sales • Translate product positioning into scalable campaign narratives • Orchestrate campaigns across paid media, lifecycle, content, webinars, and executive events • Bring paid media strategy and execution in-house (search, social, programmatic, retargeting) • Optimize spend toward qualified pipeline and bookings, not vanity metrics • Continuously test messaging, audience targeting, and creative • Embed webinars, broker events, and executive roundtables into broader campaign arcs • Own pre and post event orchestration to convert engagement into meetings • Partner with Sales to define target accounts and buying group strategy • Design campaigns that support account penetration and pipeline acceleration • Ensure tight feedback loops between marketing and revenue teams • Overall success will be measured by predictable, measurable pipeline aligned to revenue targets • ABM programs driving qualified meetings within target accounts • Paid media performance that outperforms agency benchmarks • Campaign reporting that clearly connects activity to bookings • Strong Sales partnership and clear GTM coordination

• Own and optimize the marketing technology ecosystem (CRM, marketing automation, intent, analytics tools) • Architect clean integrations and scalable data flows • Evaluate tools for ROI and eliminate unnecessary spend • Ensure systems fully support ABM/ABX orchestration • Own attribution models and pipeline reporting • Build dashboards used by Marketing, Revenue, and Executive leadership • Translate campaign performance into business impact • Maintain data hygiene and lifecycle integrity • Partner with Sales Ops to ensure seamless CRM alignment • Design lead routing, scoring, segmentation, and account prioritization logic • Establish shared definitions across Marketing and Sales • Establish marketing operating cadences and cross-functional workflows • Improve campaign launch processes and accountability frameworks • Bring rigor to forecasting, reporting, and performance analysis

• Manage the case management process by driving to resolution all internal service cases submitted by our stakeholders • Manage the Closed-Won-Pending process to ensure all data is accurate and complete on opportunities that are requested to be Closed-Won • Analyze data by creating reports and dashboards within Salesforce, in addition to exporting data to Excel or Google Sheets for more detailed examination • Serve as a trusted process owner, ensuring the integrity and accuracy of data in Salesforce through continuous data hygiene tasks and manual oversight of the deal handoff from Revenue to Finance • Provide essential cross-functional support, acting as the representative for Sales Operations on initiatives that impact the Revenue team or the tech stack • Create accurate and audience-appropriate materials, such as: high-level design documents, job aids for the Revenue team, and Standard Operating Procedures (SOPs) for the Sales Operations team

• Serve as a trusted solutions advisor for ALEX opportunities, leading complex or strategic sales cycles and demos • Provide deal strategy and model best-in-class discovery, product demonstrations, and solution design for direct prospects, brokers, and clients. • Assist in architecting the deal to the buyer's needs • Act as one of the Revenue and Renewal team's product experts, mastering our products, system architecture, security requirements, customer needs, and the sales process, including plan analysis, when needed. • Respond to solution information requests, design tailored product solutions, and provide in-depth product demonstrations. • Support plan design analysis to insure product fit. • Develop a working knowledge of our products’ integration capabilities, including APIs, file sharing, and Single Sign-On (SSO), and help customers understand their architecture and benefits. • History of collaborating close across the organization, including sales, marketing, legal, security, and technology teams • Be quick on your feet, helping the sales team field questions and objections during the sales process, and helping customers understand how our architecture excels compared to the competition. • Assist with RFP content when deep product expertise is necessary. • Support revenue targets related to solution requirements.