Remote Jobs at Ema

Develops enterprise AI solutions for workforce efficiency

Mountain View, California, United States

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San Francisco

Account Executive - US Remote

Ema

Candidates should have a deep understanding of AI technologies and product offerings to effectively communicate their value. A proven track record in building relationships, prospecting, and negotiating high-value deals with senior executives is essential. Strong communication and interpersonal skills are required, along with a combination of selling skills and technical understanding. The ability to thrive in a fast-paced environment and adapt to changing priorities is also necessary.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
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Bengaluru

AI Applications Engineer

Ema

Candidates should have at least 2 years of experience in technical support or customer success for SaaS or enterprise software. Familiarity with AI/Chatbot or Agent Assist solutions is a plus. Proficiency in troubleshooting production issues and diagnosing ML performance is required, along with knowledge of APIs (JSON, REST, SOAP) and integration with CRMs or ATS tools. A strong understanding of support metrics such as FRT, AHT, TAT, and CSAT is necessary, as well as competency in logging, dashb…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconJunior (1 to 2 years)
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San Francisco

Backend Engineer - Bay Area

Ema

Candidates should have a Bachelor's degree in Computer Science or a related field and at least 4 years of relevant work experience. A solid background in algorithms, data structures, and object-oriented programming is required, along with experience in back-end development using languages like Python and Go. Knowledge of database technologies such as PostgreSQL, Elastic, and Redis is essential, as well as experience with cloud technologies like GCP, AWS, and Azure. Familiarity with containerizat…

  • Compensation icon$135,000 - $200,000/year
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years)
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Bengaluru

AI Applications Lead

Ema

Candidates should have at least 6 years of experience in customer-facing roles, consulting, or solution delivery for enterprise clients, along with 4 years of team management experience in a technical setting. Hands-on experience with LLM-based solutions, proficiency in Python and SQL, and expertise in cloud platforms such as AWS, GCP, or Azure is required. Strong problem-solving skills and a strategic mindset are essential, with familiarity in scaling AI workflows and monitoring tools preferred…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years), Expert & Leadership (9+ years)
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Bengaluru

Backend Engineer - India

Ema

Candidates should have a Bachelor's degree in Computer Science or a related field and at least 4 years of relevant work experience. A solid background in algorithms, data structures, and object-oriented programming is required, along with experience in back-end development using languages like Python and Go. Knowledge of database technologies such as PostgreSQL, Elastic, and Redis is essential, as well as familiarity with cloud technologies like GCP and containerization technologies like Docker …

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years)
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San Francisco

Backend Engineering Lead - Bay Area

Ema

- Bachelor's degree in Computer Science or related field - At least 4 years of relevant work experience - Solid background in algorithms, data structures, and object-oriented programming - Experience in back-end development using languages like Python and Go - Knowledge of database technologies like PostgreSQL, Elastic, Redis - Knowledge of designing and building API platforms and integration systems - Experience with cloud technologies like GCP, AWS, and Azure - Experience with containerization…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconExpert & Leadership (9+ years)
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United States
Remote iconRemote

Customer Success Specialist - US

Ema

Candidates should have at least 5 years of experience in Customer Success, preferably in Enterprise SaaS. Familiarity with artificial intelligence technologies and the ability to articulate their value proposition is essential. Excellent verbal and written communication skills are required, along with strong analytical and problem-solving abilities. Demonstrated negotiation skills and a customer-centric mindset are necessary, as well as the ability to adapt in a fast-paced startup environment.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years)
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Bengaluru

Deployment engineer

Ema

Candidates should have at least 2 years of experience in DevOps, Infrastructure Setup, or Deployment Engineering roles. Hands-on expertise with cloud platforms such as GCP, Azure, or AWS is required, along with familiarity with infrastructure-as-code tools like Terraform or Ansible. Proficiency in CI/CD tools such as GitLab CI or Jenkins is necessary, and experience with monitoring tools like Prometheus, Grafana, Datadog, or Splunk is preferred. Strong troubleshooting skills and excellent commun…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
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Bengaluru

DevOps Engineer

Ema

Candidates should have experience in designing, developing, and deploying Multi-tenant SaaS solutions on public cloud platforms such as AWS, Azure, or GCP. Proficiency in using tools like Kubernetes, Helm, Terraform, and Ansible is required, along with scripting skills in Shell and Python. Experience with CI/CD pipelines, particularly using GitHub Actions and Cloud Build tools, is also essential. A background in ML/OPs is considered a plus.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years)
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San Francisco

DevOps Engineer - Bay Area

Ema

Candidates should have proven experience as a DevOps Engineer with a strong background in designing and implementing scalable infrastructure. Proficiency in public cloud platforms such as AWS, Azure, or GCP is required, along with experience using Kubernetes, Terraform, and Ansible. Familiarity with CI/CD processes and tools, as well as observability tools like Prometheus and Grafana, is essential. A solid understanding of security practices and machine learning infrastructure will be advantageo…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
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San Francisco

DevOps Engineering Lead

Ema

Candidates should have significant experience in DevOps engineering with a strong background in designing and deploying SaaS solutions. Proficiency in public cloud platforms such as AWS, Azure, and GCP is required, along with expertise in tools like Kubernetes, Terraform, and Ansible. A solid understanding of CI/CD processes and observability tools like Prometheus and Grafana is essential.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years)
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United States +1 more
Remote iconRemote

Enterprise Sales Executive - US (East)

Ema

Candidates should possess a deep understanding of AI technologies and product offerings, along with a proven track record in sales, particularly in building relationships and negotiating high-value deals with senior executives. Strong communication and interpersonal skills are essential, as well as the ability to adapt to a fast-paced environment and manage changing priorities.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
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United States
Remote iconRemote

Forward Deployed Software Engineer| Solution Architect

Ema

Candidates should possess a Bachelor's degree in Computer Science, Information Technology, or a related field. They must have over 8 years of experience as a Solutions Architect, Solutions Engineer, Sales Engineer, Forward Deployment Engineer, or in a similar technical pre-sales role. A strong understanding of enterprise SaaS solutions and cloud technologies is required, along with solid experience in solution design, architecture, and integration. Familiarity with relevant programming languages…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
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Bengaluru

Front End Engineer - Agentic AI Experiences

Ema

Candidates should have a Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience. A minimum of 5 years of professional experience in UI engineering is required, with strong proficiency in HTML, CSS, and JavaScript, as well as experience with modern front-end frameworks such as React, Angular, Vue.js, or Next.js. Knowledge of RESTful and gRPC APIs and familiarity with JSON, XML, and OAuth is essential. Familiarity with version control systems like…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years)
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San Francisco

Full Stack Engineer - Agentic AI Experiences

Ema

- Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience - A minimum of 4 years of professional experience in full-stack development, with a focus on front-end engineering and API integration - Strong proficiency in HTML, CSS, and JavaScript, with extensive experience in React - Experience with gRPC for client-server communication, and familiarity with RESTful APIs, JSON, XML, and OAuth - Solid understanding of back-end technologies such as Node…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years)
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