CompanyCam

• Administer CompanyCam's Vanta Professional instance • Own NIST CSF 2.0 and SOC 2 Type II framework alignment • Identify and route compliance gaps • Maintain evidence libraries and audit trails • Prepare risk reporting for the Enterprise Risk Committee • Own the risk register • Conduct vendor security assessments • Own the intake and response process for security questionnaires • Support security awareness initiatives

• Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership • Establish clear expectations and quality standards for product analytics, experimentation, and data science work • Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration • Partner with Product and Engineering leaders to support data-informed product strategy and decision-making • Help teams connect product behavior to activation, adoption, engagement, retention, and customer value • Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results • Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes • Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt • Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality • Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders • Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence • Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work • Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed • Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions

Role Description We’re looking for a sharp, self-motivated, problem-solving Senior Infrastructure Engineer to join our team. As a Senior Infrastructure Engineer, you’ll: - Work with a small team to build solutions in AWS that keep CompanyCam’s web and mobile applications humming. - Collaborate with product engineers to deploy new features and improve our existing infrastructure to make it more reliable, resilient, and secure. - Bring depth in one or more of the following areas: - Database operations and performance tuning - Search infrastructure (OpenSearch/Elasticsearch) - Observability and monitoring - Help scale and harden the systems that underpin CompanyCam's products as we grow. Qualifications - Strong knowledge of AWS, including its networking, relational database management, and cloud storage services. - Experience operating and tuning PostgreSQL or similar relational databases in production. - Experience deploying containerized applications and working with Github Actions and Terraform. - Capable of scripting in bash, ruby, and/or python. - Able to break down a complex task and document its solution. - Understands how to analyze an existing system to identify improvements. - Experience with AWS ECS/EKS Fargate. - Experience operating or tuning OpenSearch/Elasticsearch clusters. - Be technically savvy and hungry to learn. - Reside permanently and currently somewhere in the U.S. Requirements Must-haves: - Show up: give us your best and have the bravery to do difficult but necessary stuff. - Grow up: take responsibility, learn continuously, and have a growth mindset. - Do good: treat your co-workers and our customers the way you want to be treated. Nice-to-haves: - Expertise in one or more of the following: - Datadog, Grafana, OpenTelemetry - PGBouncer or similar connection pooling tools - AWS Fargate, Aurora PostgreSQL or OpenSearch - Designing systems for high availability and resiliency - Experience using AI/LLM tools to improve infrastructure or engineering workflows - Producing and presenting educational content of technical concepts Benefits - This is a salaried/hourly position at CompanyCam. - Our starting salary range is $200,000 - $210,000 per year and is based on experience. - We offer meaningful equity and other benefits.

Role Description At CompanyCam, your work makes a real impact. Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. We're building something that helps real people solve real problems—and we believe that kind of work is best done by a team that reflects the world around us. - Drive impact by: Qualifications - A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving. - A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems. Benefits - This is a salaried/hourly position at CompanyCam. Our starting salary range is $XXXX-$XXXX per year/hour and is based on experience. - Our average on target earnings (OTE) are around $XXXX. - We also offer meaningful equity and other benefits. Company Description CompanyCam is an equal-opportunity employer committed to respect, inclusion, and growth. We work hard, take responsibility, and support each other. Great ideas come from all backgrounds, and we carefully consider every applicant without regard to personal characteristics or traits. Even if your work experience doesn’t align perfectly, we encourage you to apply. What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.

• Build new features and enhancements on top of established integrations based on customer needs and data • Maintain and upgrade existing integrations, including endpoint updates and deprecation management • Investigate and debug issues using logs, monitoring tools, and a whole lot of curiosity • Use AI tooling to move faster and work smarter across debugging and development workflows • Partner closely with your team lead to keep maintenance and enhancement work in its own lane, so new integration builds stay on track

• Partner with Product Managers to define KPIs, measure success, and support continuous discovery practices • Analyze product usage, customer behavior, and funnel performance to identify trends and opportunities • Support experimentation and A/B testing efforts by measuring results and translating findings into actionable recommendations • Build and maintain dashboards and reporting in tools such as Metabase and Amplitude • Develop analyses that help teams improve product adoption, engagement, and retention • Work with cross-functional teams to ensure consistent metric definitions and trusted reporting • Leverage SQL, dbt, and analytics tools to transform and analyze product data • Enable self-service analytics by training stakeholders on dashboards, reporting tools, and best practices • Communicate complex findings clearly and effectively to both technical and non-technical audiences • Help foster a culture of experimentation, curiosity, and data-driven decision-making across Product and Engineering teams

• Design, build, and maintain automations and workflows across Salesforce and the broader GTM tech stack • Develop custom Salesforce solutions using Apex, flows, and advanced platform functionality • Build and maintain integrations across CRM, marketing automation, sales engagement, enrichment, and revenue platforms • Create AI-powered workflows, prompt frameworks, and automation solutions leveraging modern AI tools and APIs • Support end-to-end GTM processes across lead management, opportunity management, onboarding, customer success, and renewals • Partner with stakeholders to gather requirements, troubleshoot issues, and deliver scalable technical solutions • Work within Jira ticketing and project workflows to execute enhancements, resolve bugs, and support larger initiatives • Optimize workflows and system architecture to improve operational efficiency, data integrity, and reporting accuracy • Build and support automation using tools such as Clay, Zapier, n8n, and similar orchestration platforms • Maintain documentation, governance standards, and scalable processes across systems and integrations • Support reporting, dashboards, and data visibility initiatives across GTM and Revenue Operations • Continuously evaluate new AI capabilities, automation tools, and process improvements that enhance business performance

• Lead foundational product design within a core product area, shaping workflows, information architecture, and experience coherence within and across squads • Design high-quality, intuitive experiences that simplify complexity while maintaining consistency across an evolving product ecosystem. • Use design to shape product priorities, scope, and strategic decisions, extending influence far beyond execution. • Actively explore and integrate AI tools into your process to work smarter, faster, and with more insight. • Mentor designers through clear feedback, strong craft and design rationale, and visible practice that sharpens decision-making, strengthens judgment, and improved both team process and product outcomes. • Work in tight partnership with your product manager and engineering team on a daily basis to plan, prioritize, and ship. • Lead with empathy and clarity, helping teams align around shared goals and a strong customer perspective.

• Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics. • Own the full ML pipeline: data preprocessing, feature engineering, model selection, training, evaluation, and deployment into sustainable inference services. • Conduct discovery spikes to validate feasibility and inform go/no-go decisions before committing to full development. • Integrate ML solutions with observability tooling, establishing and maintaining benchmarks to measure improvement and compare approaches. • Build automated, self-sustaining ML pipelines. Models should train, evaluate, and deploy with minimal manual intervention. • Inform build-vs-buy decisions with both technical rigor and business context, understanding when in-house models create competitive advantage vs. when vendor APIs are sufficient. • Collaborate with software engineers, data engineers, and product stakeholders to integrate ML solutions into CompanyCam's platform. • Communicate clearly with non-technical audiences about feasibility, requirements, and trade-offs of proposed solutions.

• Drive expansion across your book of business through upsells, cross-sells, and increasing product adoption • Lead commercial conversations around contract renewals, upgrades, and multi-year agreements (typically $25K+ ACV) • Build strategic relationships with key stakeholders, including directors and, where appropriate, C-suite executives • Partner with CSMs to participate in Quarterly Business Reviews, reinforcing value and supporting growth conversations • Develop and execute account plans to proactively identify opportunities and deliver increased value to customers • Actively manage renewals and identify at-risk accounts, implementing retention strategies to prevent churn • Educate customers on the benefits of higher-tier plans, adding users, and longer-term contracts • Consult regularly with customers to understand their goals, challenges, and how CompanyCam can grow with them • Collaborate with Customer Success, Marketing, and Product to share insights and improve the customer experience