CompanyCam

Security Engineer

• 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

Security & Compliance Analyst

Data Scientist

• 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

Manager, Product Analytics – Data Science

Full-stack Engineer

• 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

Software Engineer II

Data Analyst

• 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

Product Data Analyst III

Systems Engineer

• 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

GTM Systems Developer

Product Designer

• 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.

Lead Product Designer

Machine Learning Engineer

• 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.

Machine Learning Engineer – Computer Vision

Account Manager

• 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

Account Manager, Mid-Market

• Lead and drive design projects for the Camera team, utilizing the CDH (Continuous Discovery Habits) framework.
• Anticipate challenges, proactively define success paths, and tie design efforts toward delivering tangible business value.
• Work cross-functionally with Product and Engineering to ensure alignment on learning goals, success metrics, and execution of design solutions.
• Communicate design decisions effectively with solid rationale, actively soliciting feedback, and fostering efficient communication with your team and stakeholders at all levels.
• Raise the bar for the broader design team by bringing outside perspective, diverse process experience, and a mindset of continuous improvement.
• Mentor contributor-level designers, helping to up-level the team through critiques, workshops, and open, honest feedback.
• Contribute to and evolve our design system, ensuring consistency and scalability across products.
• Advocate for accessibility and usability, ensuring inclusive experiences for all users.

Senior Product Designer

Backend Engineer

• Provide technical leadership and architectural guidance across five Core product teams, serving as the primary backend staff engineer for this area of the product.
• Float across teams where support is needed: stepping in on high-priority projects, unblocking engineers, and ensuring work gets over the line without dropping the thread on your broader responsibilities.
• Design, evolve, and support backend systems and architecture primarily in Ruby on Rails, PostgreSQL, REST, and related technologies, with a focus on performance and reliability at scale.
• Get ahead of technical problems — proactively identifying, forecasting, and mitigating risk before it becomes someone else's emergency.
• Ensure strong observability across Core systems, including Datadog dashboards, monitoring, and alerting.
• Influence long-term technical strategy, balancing short-term delivery with platform health, scalability, and sustainability.
• Create clarity around technical decisions, trade-offs, and direction in ambiguous or high-impact situations.
• Set and uphold high standards for code quality, security, privacy, observability, and documentation through direct contribution, review, and mentorship.
• Mentor senior backend engineers and, over time, help frontend-focused engineers build stronger Ruby on Rails skills.
• Act as a force multiplier, enabling teams and individuals without overshadowing or sidelining others.

Staff Software Engineer, Ruby on Rails

Customer Support

• Provide technical support to external users via email, chat, phone, and Zoom, resolving complex issues related to CompanyCam's app and integrations.
• Be the go-to for Spanish-speaking users, serving as the primary support contact and ensuring they receive the same quality experience as all CompanyCam customers.
• Create and maintain Help Docs, including translating new articles and updating existing content as features and integrations evolve.
• Support cross-functional teams by translating in-app content, marketing materials, and business terminology for Product, Engineering, Marketing, and Brand teams.
• Manage and maintain video content in Spanish, collaborating with other departments to record, update, and keep resources current.
• Troubleshoot and document issues, logging bug reports and feature requests in Jira and using tools like BugSnag and Datadog to dig into errors with Engineering.
• Assist Sales and Customer Success with Spanish-speaking user outreach, account conversion, retention, and collections as needed.
• Share knowledge across the team, helping train new hires, contributing to internal knowledge bases in Notion and Guru, and participating in hiring rounds.

Bilingual Customer Support Specialist

Customer Success Manager

• Own customer health across your book of business by proactively monitoring accounts, identifying risk, and stepping in early to keep customers engaged and on track
• Drive product adoption by educating customers on features, best practices, and new updates through calls, emails, texts, and live training sessions
• Lead retention efforts by working directly with customers considering cancellation or downgrade and developing strategies to retain their business
• Manage renewals by staying ahead of upcoming contract dates and making sure the path to renewal is smooth
• Partner with Account Managers to identify expansion opportunities including additional seats, add-ons, or upgraded packages
• Serve as the primary contact for Spanish-speaking customers, conducting all outreach and training at a professional/business fluency level in Spanish
• Maintain and improve CompanyCam's Spanish-language knowledge base, keeping content current with product updates and flagging gaps as they come up
• Surface feedback and trends from the Spanish-speaking customer segment to internal teams including Product, Marketing, and CS leadership
• Represent CompanyCam at Spanish-specific trade shows or industry events as needed to build relationships within the contractor community

Bilingual Customer Success Manager

Infrastructure Engineer

• 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 existing infrastructure to make it more reliable, resilient, and secure
• bring depth in one or more of the following: database operations and performance tuning, search infrastructure (OpenSearch/Elasticsearch), or observability and monitoring
• help scale and harden the systems that underpin CompanyCam's products as we grow