Ema Unlimited

About the Company

Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are:

>> Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months.

>> Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema's secure and compliant AI Employees. Ema can be deployed both on-cloud and on-prem, and is compliant with industry-leading standards, including SOC 2 Type I & II, HIPAA, GDPR, ISO 27001, NIST CSF, NIST SP 800-171, and NIST AI RMF. We are also one of the world's only companies to be certified ISO 42001, the world's first AI management system standard.

>> Accurate - Achieve the highest accuracy at the lowest costs and latency with Ema's proprietary 2T+ EmaFusion (TM) model, built for wide-ranging enterprise use-cases. Get the power of 100+ LLMs at your fingertips.

Experience the future of work with Ema, every enterprise's best performing employee. Hire Ema today.

Listed Jobs

Company Name

Ema Unlimited

Job Title

Software Engineer, Backend

Job Description

Job Title: Software Engineer, Backend Role Summary: Develop, maintain, and scale enterprise-grade backend systems and APIs using Go, Python, and modern cloud services. Apply test‑driven development, secure coding, and best practices to deliver reliable, multi‑tenant SaaS solutions. Expectations: Deliver high‑quality code on schedule, collaborate across distributed teams, continuously improve engineering processes, and support front‑end integrations. Key Responsibilities: - Design, implement, and maintain backend services, REST/gRPC APIs, and data pipelines in Go/Python. - Develop scalable data models and schemas in PostgreSQL, ClickHouse, and other database technologies. - Write unit, integration, and end‑to‑end tests; enforce TDD practices. - Implement authentication, authorization, and security controls for enterprise applications. - Containerize services with Docker; orchestrate with Kubernetes; deploy to GCP, AWS, or Azure. - Collaborate with front‑end engineers on React/Angular interfaces and shared component libraries. - Participate in code reviews, CI/CD pipeline configuration, and performance tuning. Required Skills: - 4+ years backend development experience. - Proficient in Go and/or Python; strong grasp of algorithms, data structures, OOP. - Experience with PostgreSQL, ElasticSearch, Redis, and NoSQL/SQL design. - API design skills (REST, gRPC) and versioning strategy. - Cloud platforms (GCP, AWS, Azure) and IaC concepts. - Docker, Kubernetes, and microservices architecture. - Secure coding practices, authentication protocols (OAuth2, OpenID Connect). - TDD, unit/integration testing frameworks, and CI/CD pipelines. - Front‑end fundamentals: HTML, CSS, JavaScript; familiarity with React or Angular. - Excellent problem‑solving, communication, and teamwork in distributed settings. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Relevant certifications (e.g., AWS Certified Developer, GCP Professional Cloud Developer) are a plus.

Mountain view, United states

Hybrid

Junior

18-12-2025

Company Name

Ema Unlimited

Job Title

Software Engineer, Machine Learning

Job Description

**Job Title:** Software Engineer, Machine Learning **Role Summary:** Design, develop, and deploy production‑grade machine learning models that power NLP, retrieval, ranking, reasoning, dialog, and code‑generation systems. Work across the full ML lifecycle—from data exploration to model validation and A/B testing—while collaborating with cross‑functional teams in a fast‑paced startup environment. **Expectations:** - Innovate and solve complex problems with large, heterogeneous data sets. - Translate research concepts into scalable, reliable production solutions. - Communicate model design and impact clearly to both technical and non‑technical stakeholders. - Operate autonomously yet contribute effectively as a team player in a hybrid (on‑site/remote) setting. **Key Responsibilities:** - Conceptualize, implement, and launch Transformer‑based, reinforcement‑learning, ensemble, and agent‑based models. - Process and analyze structured, semi‑structured, and unstructured data to inform feature engineering and model design. - Manage end‑to‑end ML pipeline: problem definition, data preparation, training, validation, deployment, and monitoring. - Develop automated testing, validation, and A/B testing frameworks to ensure model robustness. - Maintain documentation and present model performance and business value to stakeholders. - Contribute to MLOps practices, including model versioning, CI/CD, and cloud deployment (GCP/Azure). **Required Skills:** - Proficiency in Python; strong experience with TensorFlow or PyTorch. - Deep expertise in NLP techniques and large language model training/inference. - Hands‑on experience with retrieval, ranking, reinforcement learning, or agent‑based systems at scale. - Strong data‑processing abilities (SQL, ETL, data warehousing) and familiarity with large‑scale data platforms. - Knowledge of MLOps tools and best practices; exposure to cloud services (GCP or Azure). - Solid understanding of software engineering fundamentals, data structures, and algorithms. - Excellent problem‑solving, analytical, and communication skills. **Required Education & Certifications:** - Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - Minimum 2 years of industry experience building and deploying production ML models.

Mountain view, United states

Hybrid

Junior

09-02-2026

Company Name

Ema Unlimited

Job Title

AI Strategist

Job Description

**Job Title:** AI Strategist **Role Summary:** Leads AI strategy and transformation for high‑value enterprise accounts, partnering with C‑level stakeholders and internal cross‑functional teams to design, sell, and implement AI solutions that drive measurable business impact. **Expectations:** - 7–12+ years of experience, including senior engagement or project leadership roles at top‑tier consulting firms (e.g., McKinsey, BCG, Bain) or comparable strategic advisory backgrounds. - Proven track record in enterprise SaaS/AI sales cycles and C‑suite advisory. - Ability to shape deal strategy, create business cases, and accelerate sales cycles. - Strong stakeholder management, communication, and consultative selling skills. **Key Responsibilities:** - Own and drive AI strategy for high‑value enterprise accounts. - Partner with executive sponsors, customer success, solution engineering, and product teams to deliver AI solutions. - Act as strategic advisor to client leadership, defining AI transformation roadmaps and business cases. - Influence deal strategy and positioning alongside CEO, CRO, and senior leadership. - Develop proposals, points‑of‑view, and narratives to shorten deal cycles. - Conduct strategic workshops, discovery sessions, and executive briefings. - Align AI solutions with customer objectives through collaboration with product, engineering, GTM, and delivery teams. - Provide market insights and customer feedback to inform product roadmap and GTM strategy. - Mentor internal teams on consultative selling, storytelling, and engagement design. **Required Skills:** - Consulting‑grade strategic thinking and structured problem‑solving. - Deep knowledge of AI/ML applications in enterprise workflows (LLMs a plus). - Experience with enterprise SaaS or AI technology sales motions. - Excellent storytelling, presentation, and written communication abilities. - Strong stakeholder management and executive relationship building. - Ability to design ROI models and business cases. - Collaborative mindset; proven ability to work with cross‑functional leadership in fast‑paced environments. **Required Education & Certifications:** - Bachelor’s degree in a relevant field (e.g., Business, Engineering, Computer Science, Data Science). - MBA or advanced degree from a top‑tier institution preferred (optional). - No specific certifications required; demonstrated expertise in AI strategy and enterprise transformation is essential.

San francisco bay, United states

Hybrid

09-02-2026