**About Espressive**- Espressive redefines how employees get help by delivering exceptional employee experiences. We were founded on the belief that getting help at work shouldn't be so hard. While others have focused on solving the problems faced by help desk analysts, Espressive shifted the focus to the employee — because you can't have self-service if employees are not engaged Barista, our virtual support agent (VSA), brings the ease of consumer virtual assistants, such as Alexa and Google Home, into the workplace, delivering a personalized user experience that results in employee adoption rates of 80-85% and reduced help desk call volume of 50-70%.We've raised our series B and are funded by some of the best VCs in the world. We have a highly experienced, small team, led by a CEO and executive team with a proven track record of building successful companies. We have offices in Santa Clara, California, Salt Lake City, Utah and Guadalajara, Mexico._**_About the Role_**Espressive is looking for a Technical Product Manager to join the Developer Enablement team. This individual will be responsible for prioritizing, designing, and standardizing integrations with 3rd party systems. This individual will also contribute to the platform and tools roadmap including advancing the Barista Control Center SDK and other tools in this hands-on role.The is a challenging and multifaceted position; the Technical Product Manager should have expertise with integration platforms, be conversant with REST and event-based integration patterns, and have real-world programming experience in Python, Ruby, and/or Golang. The developer should also have excellent communication skills to work with SIs, ISVs, and developer communities. Most importantly, the developer should have a passion for learning and a drive for perfection.**About the Responsibilities**- Conduct exhaustive research into 3rd party APIs, platforms, and tools- Influence product planning and roadmap prioritization- Build-out integration recipes, Postman collections, Swagger indices, and code stubs for calling Webhooks- Author detailed technical specifications describing implementation details where appropriate.- Participate in sprint "pod" meetings and adjust scope based on burn-down velocity**Hard Skills or Qualifications Required**- Have a track record of success building multidisciplinary enterprise software- Have hands-on experience working with AI, machine learning, NLP and related technologies- Have demonstrable expertise working with APIs, 3rd party SDKs, and developer ecosystems- English is a must- 4 years of experience in similar role