ButterflyMX

Vice President

• Define and execute ButterflyMX’s enterprise data strategy.
• Prioritize transformation work based on commercial impact, decision value, risk, and organizational leverage.
• Balance foundational investments with rapid delivery of visible business value.
• Establish the governed data layer, primarily centered on Snowflake, as ButterflyMX’s authoritative source of truth.
• Ensure leaders can clearly understand performance, diagnose problems, identify root causes, and act confidently.
• Translate business questions into durable analytical systems rather than one-time analyses.
• Partner with Finance, Sales, Marketing, Customer Success, Product, and Operations to define the economic and operational relationships that drive company performance.
• Identify leading indicators and causal relationships, not merely lagging reports.
• Create mechanisms that reveal emerging risks and opportunities before they become obvious in monthly or quarterly reporting.
• Improve planning, forecasting, resource allocation, prioritization, and accountability throughout the organization.
• Establish a company-wide metric governance framework.
• Treat data products with the same rigor applied to strong external software products.
• Define users, use cases, adoption goals, trust requirements, service levels, documentation, and success measures for each important data product.
• Design data experiences that are intuitive, discoverable, and easier to use than informal alternatives.
• Measure adoption, usability, reliability, consumer satisfaction, and decisions influenced.
• Build a data organization in which AI agents are a primary working tool, not an experiment or side project.
• Remain technically engaged enough to review code, inspect models, prototype solutions, and participate directly when difficult problems require senior judgment.
• Engineer data quality into the platform rather than relying on manual review and reconciliation.
• Centralize standards, architecture, governance, and core data products while decentralizing responsible usage.
• Develop strong partnerships with every major business function.
• Lead, develop, and expand a high-performing data organization, beginning with four

VP of Data

Artificial Intelligence

• Define and own the company’s AI transformation strategy, ensuring alignment with business goals, operating plans, and long-term vision.
• Develop and maintain an AI transformation roadmap, balancing near-term wins with longer-term strategic investments.
• Partner with executive leadership to translate business priorities into AI-enabled opportunities.
• Manage headcount planning and hiring strategy for AI teams
• Establish processes for AI project intake, prioritization, and resource allocation
• Identify, prioritize, and size high-impact AI use cases across the business.
• Build and manage AI-related budgets, including tooling, vendors, experimentation, and enablement initiatives.
• Ensure decisions are driven by data with clear KPIs
• Act as a visible AI champion across the organization.
• Translate complex AI concepts into clear, practical language for non-technical audiences.
• Foster excitement while maintaining credibility and realism.
• Continuously experiment with emerging AI tools, platforms, and workflows.
• Identify AI tools and services that should be adopted by our company
• Share learnings quickly and pragmatically with teams.
• Ensure AI adoption is secure, compliant, and responsible by establishing governing policies
• Balance risk management with speed and usability.
• Help define guardrails that enable innovation.

Director, AI Strategy – Transformation

Director

• Own the strategy, architecture, operation, and continuous improvement of corporate IT with clear operating standards, ownership models, service expectations, and success measures.
• Develop the vision for a modern, secure, scalable, and AI-enabled workplace.
• Identify weaknesses, technical debt, manual processes, and poor employee experiences.
• Make thoughtful build, buy, automate, and retire decisions across the enterprise technology portfolio.
• Remain personally engaged in important or difficult problems.
• Create an IT experience that employees actively value and trust, with a reputation for solving root causes, not merely closing tickets.
• Ensure employees receive responsive, empathetic, technically excellent support regardless of role, a white-glove experience where appropriate, and scalable self-service capabilities for all.
• Treat onboarding, equipment selection, troubleshooting, access, and workplace technology as important employee experiences.
• Proactively seek employee feedback and use it to improve systems, support, documentation, and communication.
• Communicate clearly during incidents, changes, outages, and complex troubleshooting efforts.
• Identify and implement practical AI and agentic solutions that improve the speed, quality, and scalability of IT operations.
• Modernize help desk operations through intelligent ticket classification, routing, suggested resolution, and employee-facing AI and self-service experiences.
• Use AI to improve documentation, knowledge management, workflow automation, access administration, SaaS management, reporting, and operational analysis.
• Continuously experiment with emerging technologies and turn the best ideas into dependable production capabilities.
• Build the IAM program: own SSO, MFA, SCIM, automated lifecycle management, privileged access, and identity governance.
• Integrate JumpCloud or equivalent identity platforms with Google Workspace, Workday, and enterprise SaaS applications.
• Ensure employee and contingent-worker access is provisioned accurately, changed promptly, deprovisioned reliably, and fully auditable.
• Reduce manual access administration through well-designed automation and authoritative identity data.
• Partner with Security, HR, Finance, and business leaders to balance usability, operational efficiency, and appropriate control.
• Own endpoint management across macOS and Windows, including MDM/UEM, device posture, encryption, EDR, patching, software deployment, and compliance.
• Own the complete hardware lifecycle, including standards, procurement, configuration, deployment, audit-ready asset inventory, refresh, and secure disposal.
• Ensure employees receive equipment that is appropriate for their work rather than applying rigid standards without regard for business needs.
• Own or coordinate office technology, conference-room systems, internet connectivity, wireless networking, and other workplace infrastructure.
• Maintain a complete inventory of enterprise applications, owners, users, costs, integrations, data sensitivity, and compliance status.
• Lead software procurement, vendor evaluation, contract support, licensing, renewals, rationalization, and offboarding.
• Eliminate redundant, underused, insecure, or poorly integrated tools.
• Improve the architecture and interoperability of enterprise systems rather than allowing applications to accumulate independently.
• Partner with Finance and business leaders to rationalize technology spend; maximize value while avoiding degradation to employee experience.
• Define and enforce IT security standards in partnership with the CISO.
• Own endpoint hardening, patch management, EDR coverage, device compliance, email security, account hygiene, and IT control effectiveness.
• Support audits and compliance activities related to access control, asset management, change management, onboarding, offboarding, and enterprise systems.
• Maintain policies, runbooks, and system documentation that is accurate, accessible, and operationally useful.
• Establish reliable monitoring and escalation practices for critical enterprise systems.
• Lead IT incident response with urgency, transparency, sound judgment, and strong root-cause analysis.

Director of Information Technology

Product Manager

• Own the product roadmap for this new area: evaluate what we’ve scoped, stress-test the assumptions, and evolve the plan based on what you learn
• Conduct rigorous discovery by getting close to end users and operators, sharpening the problem definition while iterating with Design and Engineering on the solution
• Embed AI into the product where it creates genuine value, not as a feature checkbox but as a lever for better experiences and smarter operations
• Make smart calls about what we build versus partner versus white-label
• Establish the metrics that matter and hold yourself accountable to them

Principal Product Manager – Mobile

Data Scientist

• Own the canonical revenue data model and all metric definitions, ensuring consistency of data definitions, tables, and lineage across all Sales systems and vendor data sources, while governing calculation standards for ARR, pipeline, win rate, conversion, velocity, and all other revenue metrics used in Sales reporting and planning; when this is done well, metric definitions are never debated in executive discussions and analysis is never challenged on the credibility of its underlying data
• Build and maintain a unified revenue data and business logic layer combining Salesforce, Snowflake, and third-party vendor sources; audit continuously for quality gaps, metric drift, and inconsistencies; this is the foundation everything else in the intelligence stack is built on
• Own all BI dashboards for the Sales organization, from executive KPIs to rep-level performance views
• Produce the decisioning outputs that drive the revenue operating rhythm, from regular-cadence data packages for QBRs, forecasting, and pipeline reviews, to structured outputs that support annual planning, quota-setting, territory design, and capacity modeling; the goal is that leadership always has what it needs to move with confidence, not wait for data to be ready or reconciled
• Provide clean, reliable, and well-documented data inputs to power GTM automation; partner with the GTM Engineer to validate inputs and flag data quality issues
• Establish and automate repeatable data processes in SQL, replacing manual spreadsheet workflows across Sales Operations and Sales Leadership, converting recurring manual work into reliable infrastructure and reducing time-to-insight for the team
• Coordinate with Analytics Engineering and Business Systems on Sales data modeling and data quality, from dbt transformations of Salesforce data into exec reporting

GTM Analytics Lead

Account Executive

• Regularly contact, prospect for, and develop new business accounts (cold calling)
• Maintain and grow pipeline without leads from Marketing
• Communicate with sales management regularly on progress
• Develop and build out a defined territory
• Closing deals within the expected sales cycle
• Consistently provide accurate pipeline forecasting
• Conducting product demos via Zoom for clients
• Establish customer relationships that enable you to be viewed as a trusted advisor
• Attend relevant trade shows and conferences with our team in representing ButterflyMX

Sales Account Executive

Full-stack Engineer

• Build and maintain AI-powered pipeline generation infrastructure — property trigger monitoring from sources like ConstructConnect, ALN, and CoStar; account and building scoring models; and outreach automation that operationalizes signals into rep-ready pipeline
• Develop and operate a library of role-specific AI agents and prompt templates (i.e. post-call summarization, outreach personalization, next-best-action guidance, and deal coaching), while owning the prompt engineering and agent reliability infrastructure that keeps them running at scale
• Design and build internal tools for reps and operators, such as building and partner maps, call preparation and proposal drafting tools, deal coaching dashboards, and other lightweight applications that give the Sales team self-serve access to intelligence and workflow acceleration
• Analyze Salesforce data, call transcripts, pipeline patterns, and conversion signals to identify where revenue constraints are sharpest and which automation investments will move the most important levers; use those findings to set the automation agenda, measure the impact of what ships, and feed a continuous improvement loop between what gets built and whether it’s working
• Own the rep-facing intelligence layer — the natural language query interface that gives reps and operators self-serve access to pipeline data, and the conversational intelligence pipeline that extracts Gong signal into CRM fields and surfaces actionable insights from call activity
• Govern GTM data integrity across the Sales stack ensuring that Salesforce reflects activity accurately, opportunity stages are enforced before forecast pollution occurs, and account and building ownership conflicts are caught and resolved in real time
• Maintain the integration and data quality relationships that keep the automation layer stable, working with Business Systems on integration reliability and with the Revenue Intelligence Lead to ensure agent inputs are clean, governed, and properly routed when issues surface

GTM Engineer

Marketing

• Support execution and oversight of the demand generation marketing mix, including social media, email marketing, events, content production, and media buying
• Partner with the Senior Marketing Director to manage cross-functional initiatives and oversee campaign execution from start to finish
• Own and manage partner marketing programs to increase engagement, leads, and revenue from integration and channel partners
• Assist in the production of marketing content, including video, audio, and graphic design graphics
• Travel 2-3 times per year to trade shows and events
• Help optimize marketing performance by tracking KPIs, reporting on results, and identifying areas for improvement
• Work with Sales, CX, and Product on various initiatives, including enablement, training, GTM, collateral, content creation, video production
• Bring fresh ideas to the table to help improve processes, creative, and performance across all channels
• Analyze campaign performance and provide recommendations for improvement on existing and future campaigns

Partner Marketing Manager

• Prospect, develop, and close new business opportunities within the gated community market
• Build and manage a strong pipeline without relying heavily on marketing generated leads
• Sell directly to HOAs, community associations, property managers, developers, and other key decision-makers
• Navigate complex buying processes involving boards, CAMs/property managers, developers, installers, security teams, and residents
• Develop relationships with resellers, dealers, installers, and channel partners to generate and close opportunities
• Partner with internal teams and external partners to create the right solution for each community
• Conduct discovery calls and product demos via zoom and in person as needed
• Build out and manage a defined territory or market segment
• Consistently provide accurate pipeline forecasting to sales leadership
• Close deals within expected sales cycles while maintaining strong urgency and follow-through
• Establish strong customer relationships and be viewed as a trusted advisor throughout the sales process
• Attend relevant trade shows, conferences, and industry events representing ButterflyMX

Sales Account Executive – Gated Communities

• Own the product roadmap for our core access platform
• Build for many audiences at once: residents, property managers, and channel partners across a variety of segments.
• Expand and deepen our partnership ecosystem, including property management software integrations, access control hardware, smart home platforms, and adjacent proptech surfaces where we can extend value
• Identify where AI can improve access decisions, surface anomalies, and reduce operational load for property teams and build those capabilities in ways that earn trust
• Conduct rigorous discovery by getting close to residents, on-site property staff, and channel partner teams, sharpening the problem definition while iterating with Design and Engineering on the solution
• Establish the metrics that matter for a platform product and hold yourself accountable to them

Senior Product Manager

Sales Development Rep

• Fuel the pipeline: Set introductory meetings with key influencers and decision-makers.
• Lead the charge: Make outbound calls, send strategic emails, and engage prospects with purpose.
• Do the detective work: Research and expand new and existing accounts by adding contacts and identifying the right stakeholders.
• Qualify & nurture: Build relationships with leads through thoughtful, targeted cadences.
• Collaborate with sales: Partner with the sales territory team to prioritize, follow through, and convert leads into pipeline.
• Own your numbers: Meet (and beat) targets for activity, meetings booked, and qualified leads generated.
• Stay sharp: Manage and track leads in our CRM with accurate, up-to-date records.

VP of Data

Director, AI Strategy – Transformation

Director of Information Technology

Principal Product Manager – Mobile

GTM Analytics Lead

Sales Account Executive

Sales Account Executive

Sales Account Executive

GTM Engineer

Partner Marketing Manager

Sales Account Executive – Gated Communities

Senior Product Manager

Sales Development Representative