Invoca

Social Media Manager

• Be a hands-on creator of social media content, including posts, polls, native carousels, short-form video, multi-image posts, PDFs, infographics, and other high-performing social content. You bring a strong command of what formats drive engagement on each platform.
• Engage and grow our customer and partner community on social platforms.
• Identify emerging trends and opportunities, driving social-first pilots and experimenting with new content types and the latest social media innovations.
• Contribute to and execute against an overarching social media strategy, including always-on content, community engagement, influencer programs, and associated creative.
• Create and publish monthly content calendars in addition to bi-monthly planning, featuring input from different teams to ensure content is strategic and data-driven.
• Drive social campaigns, programs, and marketing initiatives, including a robust macro/micro-influencer program (including industry-specific, key media, analysts, investors, peers, and partners) to align with product launches and relevant trends/news.
• Drive internal comms social sharing to bring fresh content to the organization.
• Execute and report on integrated brand campaigns, working cross-functionally with various departments and GTM teams to translate brand campaign objectives into social-first content.
• Collaborate with the inbound demand generation and paid social team to create and deliver innovative, best-in-class organic social campaigns.
• Analyze social media performance, share meaningful insights, and actively suggest new ways to improve engagement across all platforms and emerging outlets.
• Maintain a deep understanding of social media metrics, data analysis, and key learnings as they relate to industry benchmarks and best practices.

Social Media Content Creator

Machine Learning Engineer

• Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
• Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.
• Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
• Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
• Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
• Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

Senior ML Engineer

AI Engineer

• Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes
• Design and implement AI-driven workflows and agentic solutions across the GTM tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement
• Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows
• Integrate AI into platform design in close collaboration with Systems & Architecture, ensuring alignment with data models, governance standards, and long-term architecture
• Leverage GTM data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making
• Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.

Senior GTM AI Architect

Revenue Operations

• Own End-to-End Operational Process & Procedure
• Design and govern GTM operational processes across the full revenue lifecycle — from the first Marketing touch through Customer Success retention
• Define lifecycle stage definitions, entry/exit criteria, and cross-functional handoff standards, ensuring they are consistently applied and improved over time
• Govern lead routing, account assignment, territory execution, and workflow design across all GTM functions
• Own pipeline governance and inspection frameworks in partnership with the Revenue Strategy, Planning & Analytics pillar
• Identify and systematically eliminate operational friction across the revenue lifecycle
• Translate Business Needs into Operational Solutions
• Act as the primary translator between business strategy and operational execution — defining not just what the goals are, but precisely how teams execute against them
• Work directly with Sales, Marketing, and CS leadership to understand business needs and design the operational model to support them
• Partner with Revenue Systems, Data & AI to translate operational requirements into scalable system design and implementation, ensuring what is defined operationally is accurately built into the tech stack
• Build operational frameworks and documentation that scale with business growth and increasing organizational complexity
• Ensure that AI and automation investments are grounded in sound operational process design, partnering with Revenue Systems, Data & AI on use case prioritization
• Lead and Develop Your Team
• Lead and develop Revenue Operations Managers covering Marketing Ops and Sales Ops, providing direction, coaching, and clear prioritization
• Personally own CS Ops process design — including post-sale process optimization, customer health scoring logic, and customer lifecycle communications — as part of your end-to-end lifecycle remit
• Oversee Customer Education alignment to lifecycle stages, partnering with instructional design and content managers to connect Academy learning pathways to operational lifecycle moments
• Maintain content and tooling standard alignment between Customer Education and Revenue Training & Enablement
• Drive Cross-Functional Alignment & Adoption
• Serve as the operational liaison across Sales, Marketing, CS, and Finance leadership, representing the operational model and advocating for process integrity
• Partner with Revenue Strategy, Planning & Analytics on territory execution, pipeline governance, and performance frameworks
• Align operational workflow rollouts with Revenue Training & Enablement to ensure field readiness and adoption
• Drive adoption of new processes and workflows across the GTM field, measuring effectiveness and iterating continuously
• Continuously Improve the Revenue Engine
• Bring a data-informed perspective to process improvement, leveraging analytics insights from the Revenue Strategy, Planning & Analytics pillar
• Continuously evaluate operational processes for efficiency, scalability, and adoption across the field
• Stay ahead of best practices in revenue operations and bring a clear point of view on how emerging tools and AI capabilities can be operationally embedded

Director, Revenue Operations

Full-stack Engineer

• Provide expert technical leadership and mentorship across teams at our most senior level.
• Collaborate closely with product and engineering leaders across multiple feature development teams to build and execute high-impact, customer-facing roadmaps.
• Bring outside experience and diverse perspectives in data integration platforms and service-oriented architecture to drive the adoption of best practices and modern design patterns across the entire organization.
• Tackle challenging and rewarding problems, including:
• Architecting large portions of our "Revenue Execution" stack that seamlessly connects digital marketing attribution, telephony orchestration (CCaaS), and CRM systems together at high scale.
• Accelerating our transition to a robust service-oriented architecture, moving away from a monolith to empower teams with faster movement and fewer dependencies.
• Refactoring our information architecture to enhance user experience and simplify our backend services and data models.
• Get hands-on with development, as needed, creating critical and/or complex portions of the solutions you architect.
• Share your passion for continuous learning and technical topics with your teams and peers.
• Actively contribute to an inclusive environment by promoting psychological safety and team diversity.
• Report to the VP of Architecture, who reports to the CTO.

Software Architect, Attribution & Integrations

Sales Engineer

• Architect the Demo Ecosystem: Design and maintain the 'Gold Standard' demo environment, including the system architecture, database schemas, and API layers that power Invoca’s technical storytelling.
• Full-Stack Prototyping: Build functional user interfaces and dashboards that make complex AI processes 'visible' and intuitive for non-technical stakeholders.
• Scalable 'Scaffolding': Create modular demo assets and 'click-to-deploy' sandboxes that the broader SE team can easily customize for specific industry verticals.
• Process Automation: Use toolsets such as Gumloop, Zapier, or Workato to automate data flows between marketing touchpoints and sales outcomes.
• Lead Technical Strategy: Partner with Account Executives on high-value accounts to lead integration, technical discovery, and navigate complex technical blockers.
• High-Stakes Technical Reviews: Act as the lead architect during deep-dive technical reviews with customer CTOs and Security Officers, defending the scalability, database integrity, and security of your proposed solutions.
• AI Thought Leadership: Collaborate with Product and Engineering to ensure Invoca remains 'AI-ready,' acting as a feedback loop between the field and our core product developers.
• Governance & Safety: Implement 'Human-in-the-Loop' checkpoints to ensure AI-generated demo content is reliable, safe, and free of hallucinations.

Senior Sales Engineer

Platform Engineer

• Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities.
• Build the platform components that product teams can assemble into real applications, such as orchestration building blocks, tool interfaces, workflow contracts, context-handling systems, and retrieval primitives.
• Build the shared evaluation framework that enables teams to test AI systems consistently and at scale, including CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation.
• Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly including platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions.
• Design and improve the serving, routing, and control layers ensuring low latency, high availability, cost efficiency, and strong production behavior.
• Build and enforce platform capabilities that make AI systems measurable, debuggable, and governable, including tracing, auditing, and policy enforcement.
• Create tools, templates, documentation, and reference implementations that make the platform easy to adopt and hard to misuse.
• Influence architecture, standards, and long-term technical strategy for AI Platform by identifying patterns across teams and converting them into reusable platform solutions.

Staff AI Platform Engineer

• Own and evolve CI/CD “paved road” tooling
• Build and maintain reliable, scalable CI/CD workflows (guardrails, automation, reusable patterns/templates).
• Enhance Backstage as the unified developer portal, improving CI/CD visibility, deployment tracking, and self-service workflows.
• Improve developer feedback loops: reduce flaky pipelines, speed up builds/tests, and increase observability of the release toolchain.
• Operationally support release tooling (triage, incident follow-ups, preventative improvements).
• Drive Ruby/Rails platform upgrades (monolith + ecosystem)
• Lead or heavily contribute to Ruby and Rails upgrade efforts, including:
• Coordinating cross-repo changes (application, Docker/CI images, shared gems, test strategy).
• Creating safe rollout plans (canaries, staged deploys, rollback paths) and enabling other teams through docs/runbooks.
• Platform enablement – Build and improve self-service tooling and Golden Path workflows through Backstage, CI/CD templates, and standardized patterns so service teams can safely own their own infra, config, and auth changes without gatekeepers.
• Help standardize and operationalize Auth0 and other authentication/authorization patterns across environments
• Partner with service teams to drive Golden Path adoption, unblock migrations, and turn platform investments into org-wide leverage.
• Embrace AI to accelerate delivery and improve developer experience – Use AI-assisted development responsibly to increase throughput and quality (e.g., faster iteration, better testing strategies, improved docs/runbooks).
• Help the org adopt AI tools safely and effectively by sharing best practices and patterns.

Senior Software Engineer

Product Designer

• Collaborate and Innovate:
• Understand and Advocate for Users:
• Bring Designs to Life:
• Elevate Our Design Practice:
• Shape Our Design System: