Position Overview

The Field Marketing Manager, Americas will own and scale the field marketing engine for a high-impact business unit, directly influencing pipeline growth, accelerating revenue, and shaping how we go to market across the region.

This is a highly visible role that blends strategy and execution. You’ll design and orchestrate integrated campaigns, events, webinars, and ABM programs; working side-by-side with Sales and cross-functional Marketing teams to turn ideas into measurable business outcomes.

If you’re equal parts strategist, operator, and innovator; and excited to leverage AI to unlock smarter, faster marketing - this role is for you.

Key Responsibilities

• Lead the development and execution of pod-level field marketing plans aligned to regional and business unit goals. 

• Partner closely with Sales to identify and activate priority plays that progress opportunities through the funnel and into bookings. 

• Build scalable field marketing programs and infrastructure, leveraging AI to improve efficiency, targeting and insights. 

• Shape team-wide processes and workflows and provide day-to-day guidance and coaching to Field Marketing Specialists and Senior Specialists, exerting influence without formal authority. 
• Strategy and Planning
  • Own the field marketing strategy and annual plan for an assigned Americas pod or business unit, aligned to shared MQL, pipeline and bookings targets. 
  • Translate GTM plays and regional priorities into integrated field programs that pull the right marketing levers at the right time across the customer journey. 
  • Use data, insights and AI tools to seize opportunities, refine targeting, and continuously optimize program mix and investment. 
• Campaigns, Events & ABM
  • Design and execute multi-channel field campaigns, including events, webinars, ABM motions and localized programs that support both new logo and expansion goals. 
  • Own end-to-end delivery of field marketing activities — brief development, project management, enablement, execution and debriefs — with extreme attention to detail and operational rigor. 
  • Partner with Demand Generation, Product Marketing, Brand, and Corporate Events to ensure Americas field programs are on-brand, on-message and coordinated across channels. 
• Sales & Cross-Functional Partnership 
  • Build strong, trust-based relationships with Sales leaders and AEs in the assigned pod/region; act as the primary marketing counterpart for planning and performance reviews. 
  • Align on coverage models, territories, key accounts and follow-up expectations with BDR/SDR teams; ensure smooth handoffs from MQL to opportunity and into bookings. 
  • Collaborate with other Field Marketing Managers across Americas to share best practices, standardize processes and identify opportunities to scale what works. 
• AI-Enabled Execution & Innovation 
  • Champion the use of AI across field marketing workflows — from audience and target account list refinement to content creation, testing and reporting — to increase throughput and impact. 
  • Pilot new AI-driven tactics in partnership with Brand, Content and Demand Generation, and document learnings to inform broader adoption. 
• Measurement, Reporting & Optimization 
  • Own pod-level field targets and KPIs; track and report on MQLs, opportunities, pipeline and bookings influenced by field programs, as well as marketing ROI. 
  • Build regular performance readouts for Sales and Marketing leadership, surfacing insights, risks and recommended optimizations. 
  • Use data to identify gaps in the funnel, propose corrective actions, and test alternative approaches to unlock growth. 

Required Experience/Skills

• 5+ years of B2B SaaS field marketing or closely related experience (e.g., growth, revenue, campaign marketing), with a track record of driving pipeline and bookings with Sales. 
• Deep experience building and executing integrated field programs across tactics such as events, webinars, ABM and partner campaigns. 
• Demonstrable capability with AI tools, with real use cases that improve operational excellence, visibility and speed-to-impact in marketing programs. 
• Motivated self-starter with a “get stuff done” mindset and the ability to set priorities, manage multiple projects and hit deadlines with limited oversight. 
• Strong interpersonal and communication skills (written and verbal), including comfort presenting to and influencing senior Marketing and Sales leaders. 
• Proven ability to partner and develop strong relationships across all levels of a complex, matrixed commercial organization. 
• Highly organized, process-driven operator with strong project management skills and extreme attention to detail. 
• Commercial, strategic and data-driven mindset; uses data and reporting to make decisions, optimize plans and demonstrate impact against regional growth goals. 
• Proficiency with core marketing and productivity tools (e.g., Salesforce, Marketo, Wrike, Microsoft Office Suite) and comfort adopting new AI-powered technologies. 
• Familiarity with the GRC space and experience working in a complex matrixed organization are strong pluses. 

Position Overview

The Field Marketing Manager, Americas will own and scale the field marketing engine for a high-impact business unit, directly influencing pipeline growth, accelerating revenue, and shaping how we go to market across the region.

This is a highly visible role that blends strategy and execution. You’ll design and orchestrate integrated campaigns, events, webinars, and ABM programs; working side-by-side with Sales and cross-functional Marketing teams to turn ideas into measurable business outcomes.

If you’re equal parts strategist, operator, and innovator; and excited to leverage AI to unlock smarter, faster marketing - this role is for you.

Key Responsibilities

• Lead the development and execution of pod-level field marketing plans aligned to regional and business unit goals. 

• Partner closely with Sales to identify and activate priority plays that progress opportunities through the funnel and into bookings. 

• Build scalable field marketing programs and infrastructure, leveraging AI to improve efficiency, targeting and insights. 

• Shape team-wide processes and workflows and provide day-to-day guidance and coaching to Field Marketing Specialists and Senior Specialists, exerting influence without formal authority. 
• Strategy and Planning
  • Own the field marketing strategy and annual plan for an assigned Americas pod or business unit, aligned to shared MQL, pipeline and bookings targets. 
  • Translate GTM plays and regional priorities into integrated field programs that pull the right marketing levers at the right time across the customer journey. 
  • Use data, insights and AI tools to seize opportunities, refine targeting, and continuously optimize program mix and investment. 
• Campaigns, Events & ABM
  • Design and execute multi-channel field campaigns, including events, webinars, ABM motions and localized programs that support both new logo and expansion goals. 
  • Own end-to-end delivery of field marketing activities — brief development, project management, enablement, execution and debriefs — with extreme attention to detail and operational rigor. 
  • Partner with Demand Generation, Product Marketing, Brand, and Corporate Events to ensure Americas field programs are on-brand, on-message and coordinated across channels. 
• Sales & Cross-Functional Partnership 
  • Build strong, trust-based relationships with Sales leaders and AEs in the assigned pod/region; act as the primary marketing counterpart for planning and performance reviews. 
  • Align on coverage models, territories, key accounts and follow-up expectations with BDR/SDR teams; ensure smooth handoffs from MQL to opportunity and into bookings. 
  • Collaborate with other Field Marketing Managers across Americas to share best practices, standardize processes and identify opportunities to scale what works. 
• AI-Enabled Execution & Innovation 
  • Champion the use of AI across field marketing workflows — from audience and target account list refinement to content creation, testing and reporting — to increase throughput and impact. 
  • Pilot new AI-driven tactics in partnership with Brand, Content and Demand Generation, and document learnings to inform broader adoption. 
• Measurement, Reporting & Optimization 
  • Own pod-level field targets and KPIs; track and report on MQLs, opportunities, pipeline and bookings influenced by field programs, as well as marketing ROI. 
  • Build regular performance readouts for Sales and Marketing leadership, surfacing insights, risks and recommended optimizations. 
  • Use data to identify gaps in the funnel, propose corrective actions, and test alternative approaches to unlock growth. 

Required Experience/Skills

• 5+ years of B2B SaaS field marketing or closely related experience (e.g., growth, revenue, campaign marketing), with a track record of driving pipeline and bookings with Sales. 
• Deep experience building and executing integrated field programs across tactics such as events, webinars, ABM and partner campaigns. 
• Demonstrable capability with AI tools, with real use cases that improve operational excellence, visibility and speed-to-impact in marketing programs. 
• Motivated self-starter with a “get stuff done” mindset and the ability to set priorities, manage multiple projects and hit deadlines with limited oversight. 
• Strong interpersonal and communication skills (written and verbal), including comfort presenting to and influencing senior Marketing and Sales leaders. 
• Proven ability to partner and develop strong relationships across all levels of a complex, matrixed commercial organization. 
• Highly organized, process-driven operator with strong project management skills and extreme attention to detail. 
• Commercial, strategic and data-driven mindset; uses data and reporting to make decisions, optimize plans and demonstrate impact against regional growth goals. 
• Proficiency with core marketing and productivity tools (e.g., Salesforce, Marketo, Wrike, Microsoft Office Suite) and comfort adopting new AI-powered technologies. 
• Familiarity with the GRC space and experience working in a complex matrixed organization are strong pluses. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

About the group:

Branch is looking for a Principal Product Operations leader with a proven background building scalable processes and growing high-performing teams in a SaaS environment.

This newly created opportunity reports directly to the VP of Product and owns all product operations to drive operational excellence. The ideal candidate brings a demonstrated ability to work horizontally and vertically across the organization — bridging product, data, engineering, and customer-facing teams through strong cross-functional partnerships.

In this role, you will lead cross-functional initiatives and will be responsible for designing and optimizing the end-to-end product development lifecycle, leveraging AI-powered tools and workflow automation to accelerate delivery, eliminate process bottlenecks, and surface actionable insights from data. This includes integrating AI into how we synthesize customer feedback, track roadmap health, and enable teams to make faster, better-informed decisions.

This position sits at the intersection of operational efficiency, customer-centricity, and intelligent automation — ensuring our product teams are equipped to move with speed and precision in a rapidly evolving landscape.

Key Responsibilities

• Build and scale the Product Operations function, including establishing how AI tools augment each operational role and where automation can reduce manual coordination overhead.
• Define and execute the strategic vision for product operations, establishing frameworks that enable product-led growth and operational excellence at scale — with a deliberate roadmap for how AI adoption evolves across the product org over time.
• Own end-to-end product lifecycle operations including planning processes, prioritization frameworks, delivery mechanisms, and post-launch measurement systems .
• Identify, pilot, and operationalize AI-powered tools and agentic workflows across product, engineering, and design teams, evaluating where AI can handle execution, so teams focus on higher-order decision-making.
• Lead cross-functional initiatives spanning product, engineering, GTM, and customer success to accelerate time-to-market and improve feature adoption, using automated coordination and shared intelligence layers to reduce friction across team boundaries.
• Design and operationalize a Voice of the Customer program that integrates quantitative and qualitative signals, including in-app analytics, support data, user research, and revenue impact, and deploy AI to continuously synthesize that signal at scale into prioritized, actionable product insights.
• Partner with Product Leadership and the executive team on strategic planning, resource allocation, and portfolio management decisions.
• Own product knowledge management, ensuring internal teams and customers understand product capabilities and roadmap direction, including building AI-assisted tools for self-serve knowledge access and employee onboarding.
• Establish and report on operational health metrics including delivery predictability, cycle times, adoption rates, and team efficiency indicators, instrumenting dashboards and alerting systems that surface anomalies automatically and reduce reliance on manual reporting.
  
  

You’ll be a good fit if you have:

Required:

• 12+ years in product management, product operations, technical program management, or strategy roles, with 6+ years leading operations or cross-functional teams in a B2B SaaS environment.
• Deep domain expertise in B2B SaaS product operations, preferably in adtech, martech, developer tools, or infrastructure platforms, with an understanding of how AI is reshaping product development cycles and team operating models in these spaces.
• Demonstrated success implementing organization-wide process transformations and change management in companies with 300+ employees or high-growth environments. Experience driving adoption of AI-powered tooling and workflows at scale.
• Strong executive presence with the ability to act as a translator between technical and business stakeholders, influencing leadership decisions and driving alignment across competing priorities using clear, data-backed narratives.
• Hands-on proficiency with the modern product stack: analytics platforms (Amplitude, Mixpanel), collaboration and roadmapping tools (Linear, Jira, Productboard), experimentation frameworks, and data warehousing — plus working familiarity with AI and automation platforms (n8n, Zapier, Make, or comparable tooling).
• Practical AI fluency: experience deploying AI/ML workflows into product development processes, building or shipping products with AI capabilities, and a working understanding of core concepts (LLMs, agents, RAG, prompt engineering) sufficient to evaluate tools, guide implementation, and hold technical teams accountable.
• Proven track record of establishing metrics-driven cultures. Experience designing dashboards, goal frameworks, and operational reporting that surface actionable insights at the leadership level, with increasing emphasis on AI-assisted anomaly detection and automated reporting pipelines.
• Strategic systems thinker who can redesign workflows from a zero-based, outcome-first perspective rather than automating legacy processes. Focus on translating business objectives into operational frameworks while remaining hands-on when needed.
• Exceptional communication skills with the ability to distill complex operational challenges into clear narratives for technical and non-technical audiences.
• Experience leading in fast-paced, high-ambiguity environments with shifting business needs, with particular comfort managing the pace of change that comes with integrating rapidly evolving AI capabilities into existing team workflows and product processes.

This role is 100% remote in Canada. This role does not qualify for relocation or visa sponsorship. 

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Canada is 175,000 CAD to 227,000 CAD. Please note that this information is provided for those hired in Canada only. Compensation for candidates outside of Canada will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. This role additionally includes a 10% annual bonus tied to company goals.