ButterflyMX

• 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

• 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.

• Conceptualize and deliver high-impact campaigns with clear value propositions that resonate with our diverse B2B2C audience, from real estate developers, owners, and property managers to residents, vendors, and visitors. • Gather and analyze performance data, customer feedback, and buying signals to pivot our creative strategy based on data. • Collaborate cross-functionally to understand technical updates and translate them into intuitive, value-driven content narratives. • Partner with the marketing team, to ensure seamless execution, platform-native formatting, and consistency. • Leverage existing and new A.I. tools and workflow builders to efficiently execute, produce, and scale your creative concepts without sacrificing brand voice or quality. • Design distribution flywheels that maximize asset leverage, ensuring every core piece of content organically amplifies our reach.

• 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

• Lead application security reviews, threat modeling sessions, and secure code review for new features and significant product changes. • Operate and continuously improve SAST, DAST, and SCA tooling; triage and prioritize findings in partnership with engineering teams to harden the codebase. • Plan and execute internal penetration tests against web applications, APIs, and mobile clients; coordinate and support third-party assessments. • Own the vulnerability management lifecycle from discovery, prioritization, remediation tracking, through to validation. • Develop and maintain secure coding standards, developer security guidance, and training materials. • Integrate security tooling into CI/CD pipelines and champion shift-left security practices across the SDLC. • Investigate security incidents and bug bounty submissions; provide root cause analysis and remediation recommendations. • Partner with Product and Engineering on security architecture decisions for new product capabilities. • Stay current on emerging threats, CVEs, and attack techniques relevant to our technology stack and support continuous program improvement.

• Own and continuously mature the company risk register; design a risk management workflow that uses AI tooling to surface, score, and route emerging risks with minimal manual intervention, ensuring the register reflects real-time posture, not a quarterly snapshot. • Lead external audit management (SOC 2 Type II); automate evidence collection pipelines in Vanta so that audit cycles are driven by continuous monitoring rather than evidence sprints, and begin scoping a readiness path for ISO 42001 (AI management systems). • Engineer the Trust and Assurance program for scale: build automated intake and triage workflows for security questionnaire requests, deploy AI-assisted response generation against a curated knowledge base, and expand the trust portal so that partner due diligence is largely self-service. • Build a vendor and supply chain risk program that goes beyond static spreadsheets. Design automated vendor intake, tiered risk scoring, and continuous monitoring triggers (news alerts, rating service integrations, release notes, expiration tracking) that surface risk without requiring manual sweeps. • Redesign and maintain security and privacy policies; use AI to draft, version, and track policy updates, and build a lightweight workflow for owner review, approval, and attestation that doesn't require a ticketing system to chase people down. • Own common controls monitoring in Vanta. Configure and tune integrations, checks, and alerting so that control failures surface automatically to the right owners, not just to a GRC inbox. Drive the organization toward an always-on compliance posture. • Modernize the security awareness and training program. • Design and operationalize an integrated compliance calendar covering SOC 2, security and IT systems licensing renewals, applicable state privacy regulations, and any other active frameworks with automated reminders and status tracking rather than manual coordination. • Support the CISO and General Counsel on operational privacy practices: administer cookie consent management tooling, handle or route data subject requests (DSRs) through a documented and auditable workflow, and help maintain the company's privacy notice and data mapping inventory. • Monitor the regulatory and compliance landscape, including AI governance developments (EU AI Act, NIST AI RMF, ISO 42001). Proactively surface changes that require a policy, control, or product response. • Leverage AI tools across every GRC workflow; this role is expected to demonstrate measurable efficiency gains through automation and tooling, not simply to own a portfolio of manual processes.

• 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.

Role Description ButterflyMX is hiring a Principal PM who thinks at the intersection of funnels and customer experience. This role is about understanding how people move through a decision process, where they drop off, and what it takes to earn the next step. You'll own a product area that spans two connected user groups, one experiencing that journey firsthand, the other managing and optimizing it on the other side. We have an early roadmap to build from, but we need someone to pressure-test it, sharpen it, and own it. The right person for this role brings consumer product instincts, deep familiarity with AI-driven workflow automation, and a genuine obsession with conversion. Responsibilities - Take ownership of 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. - Define and drive the end-to-end experience across two connected user groups: one consumer-facing, one operator-facing. - Identify where AI-driven automation can reduce friction and improve outcomes on both sides of the experience, and build those capabilities in a way that earns trust. - Navigate a complex integration landscape, working with third-party platforms and data sources that are central to how this market operates. - Conduct rigorous discovery by getting close to end users and operators, sharpening the problem definition while iterating with Design and Engineering on the solution. - Establish the metrics that matter and hold yourself accountable to them. Qualifications - 7+ years in product management with a track record of owning products from concept to market, including experience inheriting early-stage work and making it better. - Funnel and conversion fluency: you think in terms of acquisition, activation, and drop-off. You know how to identify where a journey breaks down and what it takes to fix it. - Consumer UX instincts for high-stakes decisions: you understand that some experiences require more than ease of use. They require trust, clarity, and confidence at every step. - Deep familiarity with AI-driven communication and workflow automation: you understand where these systems create value, where they create risk, and how to deploy them responsibly in products where real people are making real decisions. - B2B2C fluency: you have experience building products where the end user and the buyer are different people, and you know how to serve both without compromising either. - Integration-savviness: you have navigated complex third-party ecosystems and understand the product tradeoffs that come with depending on external platforms and data. - AI-native thinking: you approach product problems by asking how intelligent systems can improve the experience, not by adding AI as an afterthought. You stay current on what the technology can actually do and bring that knowledge into discovery, design, and prioritization conversations. - A builder’s mindset: you don’t just write specs and hand them off. You prototype, tinker, use the tools available to you today to explore ideas quickly, and you close the loop between what you ask engineering to build and how it actually works. - Sharp communication: you can influence across engineering, design, go-to-market, and leadership: you write well, present clearly, and earn trust without authority. Requirements - Bonus if you have at least one: - Experience in proptech, multifamily real estate, or property operations. - Experience building products with scheduling, logistics, or real-world coordination at their core. - Experience working in or alongside a marketplace, CRM, or demand generation product. - Background in products where trust and safety are design requirements. Benefits - Comprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1. - 401(k) plan with a match. - 10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays. - Basic Life and Accidental Death and Dismemberment Insurance (ButterflyMX covers 100% of the cost). - Short and Long Term Disability (ButterflyMX covers 100% of the cost). - Paid Family Leave. - Employee Assistance Program. - Quarterly self-care stipends. - Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance. - And more!

Role Description ButterflyMX is hiring for a Principal PM to lead the mobile product experience for a new and growing area of our business. You’ll own the mobile experience for this new surface area while solving the needs of property managers and operators who are part of the same ecosystem. This is a role for someone who can hit the ground running with existing momentum and still bring the curiosity and rigor to challenge what we think we know. - 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. Qualifications - 7+ years in product management with a track record of owning products from concept to market. - Mobile-first instincts: you think in mobile experiences natively, understand what makes a consumer app sticky, and have shipped products people use on their phones. - Comfort with ambiguity and early-stage product challenges: you can operate with a partial playbook, fill in the gaps, and make confident decisions with incomplete information. - Strong discovery discipline: you know how to get close to customers, synthesize qualitative signal, and translate it into a clear product direction. - AI-native thinking: you approach product problems by asking how intelligent systems can improve the experience, not by adding AI as an afterthought. You stay current on what the technology can actually do, and you bring that knowledge into discovery, design, and prioritization conversations. - A builder’s mindset: you don’t just write specs and hand them off. You prototype, tinker, use the tools available to you today to explore ideas quickly, and you close the loop between what you ask engineering to build and how it actually works. - Sharp communication skills: you can influence across engineering, design, go-to-market, and leadership by writing well, presenting clearly, and earning trust without authority. Requirements - Bonus if you have at least one: - Experience in proptech, multifamily real estate, or property operations. - Experience building consumer mobile apps with meaningful engagement, retention, or marketplace dynamics. - Experience navigating third-party integrations or white-label partnerships as part of a product strategy. - Background in platforms where the end user and the buyer are different people: you understand that tension and know how to build for both. Benefits - Comprehensive Medical (ButterflyMX covers 90% of the cost), Dental, and Vision plans (ButterflyMX covers 100% of the cost) starting day 1. - 401(k) plan with a match. - 13 paid holidays, 25 PTO days. - Paid Family Leave. - Employee Assistance Program. - Quarterly self-care stipends. - Access to optional benefits including pre-tax flexible healthcare spending accounts (FSA and HSA), Dependent Care FSA, and Commuter Benefits, as well as optional Supplemental Life, AD&D, Hospital Indemnity, Disability, Legal, Accident, Critical Illness, Pet, and Personal Liability Insurance. - And more!

• 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