AirOps

Revenue Operations

• Architect and scale the systems, processes, and team that power AirOps’ go-to-market engine.
• Design frameworks that align marketing and sales and build the infrastructure to make them run efficiently.
• Oversee revenue operations, sales development infrastructure, and GTM analytics.
• Establish frameworks for target account segmentation, territory management, rules of engagement, and compensation design.
• Build alignment between marketing and sales through shared definitions, attribution logic, and campaign-to-pipeline workflows.
• Maintain data integrity and enforce operational best practices across GTM systems.
• Build real-time analytics and dashboards for pipeline health, conversion velocity, and performance by segment.

Head of Revenue Operations

Marketing

• Lead interviews and craft short-form videos, testimonials, and case studies.
• Build a repeatable storytelling pipeline tied to launches and GTM plays.
• Partner with Demand Gen to amplify stories across channels.
• Own the Customer Advisory Board: recruiting, engagement, quarterly sessions.
• Keep top customers engaged year-round, not just during events.
• Turn CAB insights into fuel for launches, content, and GTM strategy.
• Identify and activate advocates in our content engineer community.
• Design programs that drive launch participation and organic amplification.
• Collaborate with Events to create high-impact IRL touchpoints.
• Operate hands-on in early phases, then scale with playbooks and vendors.
• Track engagement and content pipeline with operational rigor.
• 3 customer stories + 5 quotes per Tier 1 launch.
• Increased community activation and word-of-mouth volume.
• CAB becomes a consistent advocacy and feedback channel.

Head of Customer Marketing – Advocacy

Data Scientist

• Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications.
• Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.
• Collaborate with product managers to translate business requirements into technical solutions.

Lead Data Scientist

Chief Marketing Officer

• Own public stage and category creation for AI Search, speaking at events and building executive relationships
• Architect storytelling engine across channels: keynotes, customer roundtables, LinkedIn, and product launches
• Partner with Product and Sales to launch offerings, sharpen positioning, and enable GTM teams
• Build brand that appeals to enterprise CMOs and startup growth leaders
• Accelerate community around content engineering and expand marketing movement
• Build and lead an AI-native marketing team that embeds AI-driven quality into GTM

Vice President, Marketing

Full-stack Engineer

• Build AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates
• Recruit, hire, onboard, and coach a team of Forward Deployed Engineers and evolve the services delivery playbook and resourcing model
• Own customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive team
• Partner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs
• Drive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementations

Forward Deployed Engineering Lead

• As Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.
• This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.

Solutions Engineer

• Build AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates
• Recruit, hire, onboard, and coach a team of AI Solutions Architects, evolving our services delivery playbook and resourcing model
• Own customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive team
• Partner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunities
• Drive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementations

Lead AI Solutions Architect

Product Manager

• Lead the strategy, roadmap, and execution for the Agents products that translates AirOps insights into measurable outcomes for content teams.
• Partner with engineering, design, data science, and customer teams to ship high-trust, high-ROI functionality that moves customers from insight to publish.
• Set the product vision and roadmap for AirOps Agents, from opportunity identification to brief generation, on-page and off-site optimization, and refresh at scale.
• Build agent orchestration that uses tools, actions, and retrieval to research topics, analyze gaps, draft content, optimize for AI search, and capture feedback into continuous improvement loops.
• Define and implement evaluation frameworks, including offline evals, red teaming, and human-in-the-loop review, to improve factual accuracy, tone, and compliance.
• Partner with customers, AEO/SEO leaders, and content strategists to prioritize use cases that move the needle on visibility across ChatGPT, AI Overviews, Copilot, Perplexity, and similar surfaces.
• Prototype rapidly, ship iteratively, and retire features that do not meet quality or impact bars.

Senior Product Manager, AI

Product Designer

• Shape the product experience and define the visual and functional direction of the platform
• Lead the end-to-end design process for new product features: research, ideation, prototyping, user testing, and final delivery
• Partner with product managers, engineers, and stakeholders to define requirements and set design direction
• Develop and maintain a cohesive visual language and design system across the platform
• Champion user-centric and data-informed design decisions that align with business goals
• Conduct user research and translate insights into actionable solutions
• Experiment with emerging design tools and AI-powered workflows to drive innovation and efficiency
• Mentor and inspire other designers and elevate design thinking throughout the company

Lead Product Designer

• Design, prototype & launch AI-powered products that solve real user problems
• Collaborate with product, design, and data teams to take features from idea to production
• Stay on top of research and identify opportunities to ship magic to users
• Keep systems fast, reliable, and resilient under real-world usage

Product Engineer

Data Engineer

• Design, build, and maintain scalable ETL pipelines for ingesting and transforming large volumes of data
• Implement automated data validation, monitoring, and alerting to ensure quality and reliability
• Integrate diverse internal and external data sources into unified, queryable datasets
• Optimize storage and query performance for analytical workloads
• Collaborate with data scientists to productionize ML models and ensure they run reliably at scale
• Work with product and engineering teams to meet data needs for new features and insights
• Maintain cost efficiency and operational excellence in cloud environments
• Build robust ingestion, cleanup, and integration pipelines to ensure accurate, reliable data ready for analysis

Lead Data Engineer

• Build product-led experiences and extensions to attract, engage, and convert prospective customers
• Design and implement product features and interactive experiences that expose new audiences to AirOps and showcase value
• Collaborate with product and engineering teams to ideate and ship extensions and integrations that engage prospects
• Use data and feedback to iterate on product-led growth initiatives, optimizing for user activation and conversion
• Build and leverage internal tools and automation to scale outreach and measure the impact of growth experiments
• Partner with stakeholders across teams and leadership to align growth engineering efforts with company objectives

Growth Engineer

• Develop and execute innovative product strategies to accelerate user and revenue growth
• Build and optimize outbound campaigns and growth experiments across multiple channels
• Collaborate with leadership and cross-functional partners to identify growth opportunities and prioritize initiatives
• Leverage AI-powered tools and automation to scale growth and sourcing operations
• Continuously iterate on product features, user onboarding, and activation flows to maximize adoption and engagement
• Analyze user data and market signals to inform product roadmap and strategy
• Champion AirOps’ employer and product brand to attract and retain world-class talent and users

Growth Product Manager

Engineer

• Build AI growth workflows using AirOps that can be used internally and productized for customers
• Evolve services delivery playbook and resourcing, moving between execution and strategy
• Use AirOps platform to improve internal and customer-facing processes and prove out new use cases
• Partner with Growth, Marketing, Sales, and Product teams to build templates and workflows aligned to product launches and expansion opportunities
• Work cross-functionally with engineering, design, CX, growth, and content teams to bring features to market quickly and iterate based on feedback
• Monitor key metrics; analyze trends and recommend solutions to improve business outcomes; report findings to Exec team
• Partner with design on UX research to improve customer engagement and conversions
• Test the product and provide feedback to improve customer experience and usability.

Forward Deployed Engineer

• Own outbound sourcing, role promotion, and enrichment of candidate target lists
• Build and scale AI-powered sourcing pipeline (leveraging tools like Juicebox, Clay)
• Create, launch, and optimize outbound sourcing campaigns across email, LinkedIn, and other channels
• Market open roles and amplify employer brand to targeted communities
• Assemble and enrich candidate pipelines with high-quality data
• Deploy and integrate sourcing and automation tools to scale outreach efficiency
• Experiment with new ways to attract 10x talent and innovate processes
• Partner with GM of TA, hiring managers, and leadership to align sourcing strategies

Talent Density Engineer

Recruitment

• Scaling founder-led hiring into a repeatable motion: Turn high-velocity founder-owned sourcing into a systemized TA function
• Transforming hiring into revenue: Productize Content Engineer hiring into a line of business
• Building then scaling a team: Start as a hands-on builder and hire a lean, high-performing team after proving the playbook
• Designing an AI-powered sourcing engine using tools like Juicebox, Clay, and next-gen AI sourcing platforms
• Creating compounding talent density: Build a TA flywheel that amplifies brand, creates buzz, and attracts customers alongside talent

General Manager – Talent Acquisition

Learning and Development

• Architect customer success and train marketing teams on AirOps' AI workflows from first login to certification
• Complete internal Builder Certification and build real AI workflows
• Shadow and run live enterprise enablement sessions and weekly office-hours
• Own 5-10 customer accounts and manage bi-weekly pulse checks with strategic accounts
• Lead weekly "Build With Me" sessions to co-create workflows solving business problems
• Run private cohort sprints for enterprise clients (intensive training) and support public cohort program
• Design and deliver custom enterprise training programs and become a certified trainer for the AI Marketing Mastery cohort
• Build playbooks to turn one-off solutions into repeatable success patterns and influence product roadmap based on enterprise customer needs

Enterprise Customer Enablement and Training Specialist

Growth Marketing

• Engineer Word-of-Mouth at Scale: design and launch referral, affiliate, and activation programs; build marketplace-style sharing and distribution
• Drive Product-Led Growth experiments: partner with product/design to ship lightweight growth features and public-facing assets that generate leads
• Run an experimentation drumbeat: prioritize and execute 1–2 growth experiments per week across product, marketing, and distribution; test, learn, kill, and scale winners
• Architect high-leverage campaigns: create and manage growth campaigns with sharp targeting, creative distribution, and rapid iteration using non-traditional channels
• Build AI-native growth systems: use AI and build tools to accelerate insights, personalization, and experimentation velocity; develop playbooks and systems for long-term growth

Growth Operator

• Today thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.
• Building the platform and profession that will empower a million marketers to become modern leaders as AI reshapes how brands reach their audiences.
• Own strategy and execution across Google and LinkedIn Ads, expand into paid social, influencer partnerships, and email marketing.
• Drive campaigns that convert, experiment rapidly, and build attribution foundations linking activity to pipeline and revenue.
• Collaborate closely with sales, content, and product marketing to ensure measurable pipeline and brand visibility.
• Hands-on role for a growth-minded operator fluent in data, creative testing, and GTM alignment in a high-growth environment.

Head of Revenue Operations

Head of Customer Marketing – Advocacy

Lead Data Scientist

Vice President, Marketing

Forward Deployed Engineering Lead

Lead Data Scientist

Lead AI Solutions Architect

Senior Product Manager, AI

Lead Product Designer

Product Engineer

Lead Data Engineer

Growth Engineer

Growth Product Manager

Forward Deployed Engineer

Talent Density Engineer

General Manager – Talent Acquisition

Enterprise Customer Enablement and Training Specialist

Growth Operator

Growth Marketing Lead