Environmental Management Authority

Social Media Manager

• Scale Ema’s LinkedIn from 30K → 100K+ with bold, creative storytelling + optimal RoAS (return on ad spend)
• Maintain a consistent 4 week rolling calendar across social media, blogs, newsletter, channels
• Write or edit 1 blog/week, collaborating with engineers, design, and leadership to ship at scale, faster
• Work with design to repurpose existing content—whitepapers, blogs, interviews, videos—into carousels, short videos, blogs, newsletters so to achieve consistency + repetition as a brand
• Continuously experiment and improve existing channels, and also identify the right new distribution channels and format to scale Ema’s social presence (YouTube, Twitter, Instagram) and more
• Track performance and run smart, creative experiments
• Build and manage our community of senior leaders in enterprise AI: Agents of Change by Ema
• Grow and engage our private, exclusive LinkedIn group to 500+ members in 6 months
• Deliver high-value content, polls, curated insights, and conduct user research that informs original thought leadership
• Cultivate relationships with Ema’s ICP (enterprise execs, CAIOs, operators)
• Help convert community into business pipeline (work with Product Marketing & Sales to nurture and convert leads)
• Support the launch of CAIO Academy / AgentSchool as the go-to resource for enterprise AI transformation
• Help draft newsletters, create content snippets, and manage the ABT microsite
• Assist with hosting Ema’s roundtables, community sessions, hackathons, events
• Continuously measure and track key success metrics (reach, engagement, pipeline, etc.)

Social Media and Community Manager

Artificial Intelligence

• Own and drive AI strategy for high-value enterprise accounts with significant presence in India.
• Partner with executive sponsors, customer success, solution engineering, and product to deliver winning AI solutions.
• Act as the strategic advisor to client leadership, helping define AI transformation roadmaps and business cases.
• Work closely with the CEO, CRO, and broader leadership team to influence deal strategy and positioning.
• Bring consulting-grade thinking to structure engagements, solution narratives, and commercial approaches.
• Shape proposals, POVs, and strategic narratives to accelerate deal cycles.
• Serve as a trusted advisor to senior stakeholders on AI-driven business transformation.
• Navigate complex organizational structures and drive stakeholder alignment at executive and working levels.
• Lead strategic workshops, discovery sessions, and executive briefings.
• Collaborate with product, engineering, GTM, and delivery teams to align AI solutions with customer objectives.
• Provide market insights and customer feedback to inform product roadmap and GTM strategy.
• Mentor internal teams on consultative selling, strategic storytelling, and engagement design.

AI Strategist

Product Manager

• Build the Future: Collaborate with cross-functional teams to design, launch, and scale AI-powered products.
• Think Like a Founder: Participate in every stage of the product lifecycle—ideation, design, prototyping, launch, and iteration.
• Be Close to the Customer: Engage directly with enterprise users, uncover their workflows, and turn insights into product strategy.
• Shape Strategy: Analyze trends, research competitive dynamics, and help craft the vision of AI employees across industries.
• Drive Impact: Ensure your products aren’t just shipped, but truly deliver measurable outcomes for customers.

Associate Product Manager

• Scale Ema’s LinkedIn from 30K → 100K+ with bold, creative storytelling and optimal RoAS
• Maintain a consistent 4-week rolling calendar across social media, blogs, newsletter, and channels
• Write or edit 1 blog per week, collaborating with engineers, design, and leadership
• Work with design to repurpose whitepapers, blogs, interviews, videos into carousels, short videos, blogs, newsletters
• Continuously experiment and improve channels and identify new distribution channels/formats (YouTube, Twitter, Instagram)
• Track performance and run creative experiments
• Build and manage the senior leaders community: Agents of Change by Ema
• Grow and engage private LinkedIn group to 500+ members in 6 months
• Deliver high-value content, polls, curated insights, and conduct user research informing thought leadership
• Cultivate relationships with Ema’s ICP (enterprise execs, CAIOs, operators)
• Help convert community into business pipeline with Product Marketing & Sales
• Support launch of CAIO Academy / AgentSchool and manage ABT microsite
• Assist with hosting roundtables, community sessions, hackathons, and events
• Continuously measure and track key success metrics (reach, engagement, pipeline)

• Create Enterprise AI Model Evaluation Test Sets tailored for various enterprise use cases
• Evaluate AI models, personas, and prompts across multiple quality parameters
• Generate detailed AI evaluation reports with insights to improve persona setups and models
• Test UX flows to ensure seamless end-to-end GenAI user experience
• Develop and implement scripts and browser automation tools to streamline testing processes

AI Evaluation Analyst

Application Engineer

• Serve as the Product Manager, Designer & Developer in building AI-powered tools to streamline workflows for teams and partners
• Develop custom software: build AI-powered micro-SaaS tools and intelligent applications to solve specific challenges across Ema
• Leverage modern AI tooling: utilize latest AI-native development tools (e.g., Cursor, Lovable) and LLM frameworks to rapidly prototype, build, and deploy solutions
• Opportunity discovery: uncover problem statements for AI-driven automation across processes and architect AI agents to automate the work
• Deliver impact: leverage cutting-edge agentic workflow platforms — including Ema platform — to deliver value
• Act as a hybrid of product manager, strategic thinker & engineer to identify and solve problem statements
• Foundational member of the CTO’s Office team to reimagine and implement the future of work

AI Applications Engineer

Full-stack Engineer

• Architect, scale, and own the core systems that power Ema’s Search platform.
• Own the technical roadmap for Search, including core platform, internal and partner integrations, and Open API specs.
• Set the roadmap for the Data Ingestion Platform to securely ingest, transform, and index documents, spreadsheets, emails, and SaaS data.
• Lead the Application Integration Platform connecting Ema to third-party APIs (CRMs, ITSMs, HRIS, etc.).
• Design and scale Search Platform to enable structured and unstructured data for search, reasoning, and generation.
• Own architecture and implementation of Ema’s Search Index.
• Drive and collaborate with LLMOps infrastructure and enable external transform development.
• Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts) using PostgreSQL, Elasticsearch, and other tools.

Engineering Leader

Architect

• Own the technical roadmap for Search at Ema, including Core Search Platform, internal integrations, partner integrations, and Open API specs.
• Set the roadmap for the Data Ingestion Platform to securely ingest, transform, and index data from documents, spreadsheets, emails, and SaaS systems.
• Build and maintain the Application Integration Platform connecting Ema to hundreds of third-party APIs so agents can act across CRMs, ITSMs, HRIS platforms, and more.
• Design and scale the Search Platform to enable structured and unstructured data flow for search, reasoning, and generation.
• Own the architecture and implementation of Ema’s Search Index.
• Drive and collaborate with LLMOps infrastructure and influence how thousands of transforms can be developed by external contributors.
• Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts) using PostgreSQL, Elasticsearch, and other relevant tools.

Principal Architect

• Architect and deploy Generative AI solutions, including LLM-based workflows and production-grade conversational AI systems
• Mentor junior AI engineers and ensure timely delivery of high-quality implementations
• Collaborate with enterprise clients to understand objectives and translate them into actionable AI workflows
• Design and integrate complex software systems with APIs, ensuring end-to-end functionality
• Oversee cloud deployment on platforms like AWS, GCP, or Azure
• Conduct A/B and A/A testing to refine workflows and improve prompt accuracy
• Implement monitoring tools for real-time metrics and system reliability
• Align AI initiatives with organizational goals and report progress to leadership
• Stay updated on the latest trends and innovations in Generative AI to ensure state-of-the-art solutions

AI Applications Lead

Operations

• Nurture, advance, and close complex enterprise opportunities.
• Lead a highly consultative process with multiple stakeholders, from C-suite executives to technical evaluators.
• Develop ROI models, business cases, and value frameworks that quantify the impact of AI adoption.
• Design creative pricing structures tied to measurable business outcomes.
• Guide prospects through the consultative sales journey, balancing strategic storytelling with detailed execution.
• Draft and negotiate sophisticated SOWs that integrate products and services.
• Coordinate input across internal teams (product, delivery, engineering, finance, marketing) to deliver coherent and compelling proposals.
• Contribute to the development of value propositions, sales decks, and GTM strategy for verticals and geographies.
• Provide structured feedback to cross-functional teams to improve offerings, pricing models, and market approach.

Sales Strategy and Operations Manager

Product Marketing

• Own the end-to-end activation and completion funnel for partner and customer builders to shorten time-to-first-value
• Create a cohesive developer journey by integrating documentation, in-product guidance, lifecycle communications, and community programs
• Design and build documentation information architecture and a comprehensive set of developer resources
• Launch and manage behavior-based lifecycle communications (welcome series, activation nudges, re-engagement campaigns)
• Launch and grow "Ema Labs" to foster a developer community, showcase projects, and generate case studies
• Work with Product and Engineering to improve the first-time user experience with in-product checklists, contextual docs, and other guidance
• Define, track, and report on key success metrics to measure effectiveness of developer enablement and marketing programs
• Deliverables within six months include reducing median Time-to-First-Workflow to ≤7 days, producing 8-10 production-quality templates, and running 1-2 Ema Labs cohorts producing 30+ projects and 4+ case studies

Environmental Management Authority

Social Media and Community Manager

AI Strategist

Associate Product Manager

Social Media and Community Manager

AI Evaluation Analyst

AI Applications Engineer

Engineering Leader

Principal Architect

AI Applications Lead

Sales Strategy and Operations Manager

Product Marketing Manager – Developer

Regional Vice President, Sales