Environmental Management Authority

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

Social Media 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)

Social Media and Community Manager

• 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