Deepgram

Design and implement scalable, robust backend services for speech processing and AI model orchestration, integrating diverse AI models and ensuring high observability. | Senior experience in software engineering with strong backend skills, familiarity with UNIX systems, and experience in AI or audio processing is preferred; proficiency in Rust and Python is a plus, but not explicitly required from your resume. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish. What You’ll Do Improve Deepgram’s core inference services including areas in networking, speech processing, model orchestration, and observability Develop integrations with cutting edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics Debug complex system issues that include networking, scheduling, and highly concurrent workloads Rapidly customize backend services to support our customer needs Partner with Product to design and implement new services, features, and/or products end to end You’ll Love This Role If You Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work It’s Important To Us That You Have 3+ years of experience in an industry role Programming experience in Rust (or C, C++), with competence in Python Excellent communication and organizational skills, both written and verbal. A high level of experience and understanding of version control; preferably git. Comprehensive experience with UNIX-style systems. It Would Be Great If You Had Experience with low-latency, multi-model orchestration for AI-enabled applications Experience with audio processing Benefits & Perks* Holistic health Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Work/life blend Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Continuous learning Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Design and maintain automated model evaluation pipelines, integrate quality gates into release processes, and develop benchmarking frameworks for voice AI models. | Experience in QA engineering or ML evaluation, proficiency in Python, familiarity with speech/audio ML concepts, and experience with CI/CD for ML workflows. | Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The Opportunity As Model Evaluation QA Lead, you’ll be the technical owner of model quality assurance across Deepgram’s AI pipeline—from pre-training data validation and provenance through post-deployment monitoring. Reporting to the QA Engineering Manager, you will partner directly with our Active Learning and Data Ops teams to build and operate the evaluation infrastructure that ensures every model Deepgram ships meets objective quality bars across languages, domains, and deployment contexts. This is a hands-on, high-impact role at the intersection of QA engineering and ML operations. You will design automated evaluation frameworks, integrate model quality gates into release pipelines, and drive industry-standard benchmarking—ensuring Deepgram maintains its position as the accuracy and latency leader in voice AI. What You’ll Do Model Evaluation Automation: Design, build, and maintain automated model evaluation pipelines that run against every candidate model before release. Implement objective and subjective quality metrics (WER, SER, MOS, latency/throughput) across STT, TTS, and STS product lines. Release Gate Integration: Embed model quality checkpoints into CI/CD and release pipelines. Define pass/fail criteria, build dashboards for model comparison, and own the go/no-go signal for model promotions to production. Agent & Model Evaluation Frameworks: Stand up and operate evaluation tooling (Coval, Braintrust, Blue Jay, custom harnesses) for end-to-end voice agent testing—covering accuracy, latency, turn-taking, and conversational quality and custom metrics across real-world scenarios. Active Learning & Data Ingestion Testing: Partner with the Active Learning team to validate data ingestion infrastructure, annotation pipelines, and retraining automation. Ensure data quality standards are met at every stage of the flywheel. Industry Benchmark Automation: Automate execution and reporting of industry-standard benchmarks (e.g., LibriSpeech, CommonVoice, internal production-traffic evals). Maintain reproducible benchmark environments and publish results for internal consumption. Language & Domain Validation: Build and maintain test suites for multi-language and domain-specific model validation. Design coverage matrices that ensure new languages and acoustic domains are systematically evaluated before GA. Retraining Automation Support: Validate the end-to-end retraining pipeline across all data sources—from data selection and preprocessing through training, evaluation, and promotion—ensuring automation reliability and correctness. Manual Test Feedback Loop: Design and operate human-in-the-loop evaluation workflows for subjective quality assessment. Build the tooling and processes that translate human feedback into actionable quality signals for the ML team. It’s Important To Us That You Have 4–7 years of experience in QA engineering, ML evaluation, or a related technical role with a focus on predictive and generative model and data quality. Hands-on experience building automated test/evaluation pipelines for ML models and connecting software features. Strong programming skills in Python; experience with ML evaluation libraries, data processing frameworks (Pandas, NumPy), and scripting for pipeline automation. Familiarity with speech/audio ML concepts: WER, SER, MOS, acoustic models, language models, or similar evaluation metrics. Experience with CI/CD integration for ML workflows (e.g., GitHub Actions, Jenkins, Argo, MLflow, or equivalent). Ability to design and maintain reproducible benchmark environments across multiple model versions and configurations. Strong communication skills—you can translate model quality metrics into actionable insights for engineering, research, and product stakeholders. Detail-oriented and systematic, with a bias toward automation over manual process. It’d Be Nice If You Have Experience with model evaluation platforms (Coval, Braintrust, Weights & Biases, or custom evaluation harnesses). Background in speech recognition, NLP, or audio processing domains. Experience with distributed evaluation at scale—running evals across GPU clusters or large dataset partitions. Familiarity with human-in-the-loop evaluation design and annotation pipeline tooling. Experience with multi-language model evaluation and localization quality assurance. Prior work in a company where ML model quality directly impacted revenue or customer SLAs. Why This Role Matters Deepgram’s competitive advantage is built on model quality—accuracy, latency, and reliability across languages and domains. As Model Evaluation QA Lead, you’ll be the person who ensures that advantage is measured, maintained, and continuously improved. You’ll build the evaluation infrastructure that gives our Research and Active Learning teams the confidence to ship faster while raising the quality bar with every release. This role directly protects customer trust and accelerates Deepgram’s ability to lead the voice AI market. Benefits & Perks Holistic health Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Work/life blend Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Continuous learning Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Act as a technical advisor, build customer relationships, conduct demos, troubleshoot issues, and drive adoption of Deepgram's voice AI solutions. | 7-10+ years in technical account management, sales engineering, or enterprise customer success with strong API and AI/ML knowledge, and experience engaging with technical and executive stakeholders. | This a Full Remote job, the offer is available from: APAC Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Note: this role is based out of the APAC territory. Regional Expectations • Based in an APAC time zone with strong overlap to customer business hours. The Opportunity At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company. Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers. Who You Are You are not a traditional CSM. You’re a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time. As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll Do • Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions. • Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders). • Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required. • Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. • Focus on making Deepgram successful in the customer’s environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes. • Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams. • Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth. • Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies. • Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems. • Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales. • Develop and execute structured customer success plans that align business outcomes with Deepgram’s product capabilities. • Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth. • Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers. • Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact). You’ll Love This Role If You • Thrive at the intersection of sales engineering, account management, and customer success. • Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity. • Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership. • Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes. • See customer health and technical adoption not as endpoints but as the fuel for revenue expansion. • Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly. • Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive. • Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement. • Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences. • Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have • 7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech) • A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth. • Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers. • Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts. • Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations) • Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). • Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales). • A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand. • A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics. It Would Be Great If You Had • A background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities. • Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies. • Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter. This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you. Benefits & Perks Holistic health • Medical, dental, vision benefits • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans Work/life blend • Unlimited PTO • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs Continuous learning • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them. This offer from "deepgram" has been enriched by Jobgether.com and got a 77% flex score.

Design and implement secure, scalable backend services for speech processing and distributed compute orchestration, optimizing system performance and collaborating with product teams. | 3+ years industry experience, programming in Rust or C/C++, competence in Python, strong UNIX system knowledge, and excellent communication skills. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity: Deepgram is looking for a Backend Software Engineer to join the Engine team to lead the design and implementation of Deepgram’s products. You will design and implement secure, robust, and scalable services for speech processing; efficient, distributed compute orchestration; optimized scheduling, and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish. What You’ll Do • Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization • Develop processes for measuring, building, and optimizing services to maximize system performance • Debug complex system issues that include networking, scheduling, and high performance computing interactions • Rapidly customize backend services to support our customer needs • Partner with Product to design and implement new services, features, and/or products end to end You’ll Love This Role If You • Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity • Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work It’s Important To Us That You Have • 3+ years of experience in an industry role • Programming experience in Rust (or C, C++), with competence in Python • Excellent communication and organizational skills, both written and verbal. • A high level of experience and understanding of version control; preferably git. • Comprehensive experience with UNIX-style systems. It Would Be Great if You Had • Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers • Experience with audio processing Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

As a Customer Success Engineer, you will act as a technical expert and strategic advisor to enterprise customers, ensuring adoption and solving complex technical challenges. You will manage the full customer lifecycle, focusing on making Deepgram successful in the customer’s environment and identifying opportunities for expansion. | Candidates should have 7–10+ years of experience in Technical Account Management, Sales Engineering, or Enterprise Customer Success with a strong technical focus. A proven track record in roles that blend customer engagement with technical expertise is essential. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The Opportunity At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company. Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers. Who You Are You are not a traditional CSM. You’re a Customer Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and business growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time. As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll Do Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives to align business goals with technical solutions. Build, nurture, and sustain customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders). Conduct regular on-site visits with customers to partner closely, work hands-on to drive adoption, and actively embed Deepgram into their workflows. Frequent travel may be required. Own and manage the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. Focus on making Deepgram successful in the customer’s environment; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes. Continuously operate in discovery mode, surfacing customer issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams. Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth. Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies. Leverage AI to amplify your impact; be an expert in how Customer Success can apply AI to drive customer outcomes, surface insights, and improve internal systems. Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales. Develop and execute structured customer success plans that align business outcomes with Deepgram’s product capabilities. Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth. Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers. Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact). You’ll Love This Role If You Thrive at the intersection of sales engineering, account management, and customer success. Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity. Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership. Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes. See customer health and technical adoption not as endpoints but as the fuel for revenue expansion. Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly. Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive. Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement. Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences. Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have 7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech) A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth. Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers. Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts. Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations) Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales). A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand. A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics. It Would Be Great If You Had A background spanning solutions engineering, technical account management, or L1 support in addition to CSM responsibilities. Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies. Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter. This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. | You should have 7–10+ years in Technical Account Management, Sales Engineering, or Enterprise Customer Success with a strong technical focus. A proven track record in roles that blend customer engagement with technical expertise is essential. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. At Deepgram, we make it easy to create inspiring voice experiences. Today, we offer the Deepgram Enterprise Runtime, which powers low-latency, high-quality, affordable Speech to Text, Text to Speech, Voice Intelligence and Voice Agent APIs. What’s next? We’re building the speech company. Our Customer Success team, known as The Heartbeat of Deepgram, sits at the intersection of customers, product, and growth. We’re not here just to “manage accounts”; we make Deepgram successful in our customers’ environments by combining technical expertise with commercial impact. Customer Success Engineers are hands-on partners who ensure adoption, solve complex technical challenges, and highlight opportunities for expansion. At the same time, we bring back the insights that shape Deepgram’s roadmap and the internal tools we build to support customers. Who You Are You are not a traditional CSM. You’re a Partner Success Engineer, someone who thrives at the intersection of APIs, customer outcomes, and channel growth. You have a strong technical foundation and are comfortable running demos, guiding architecture discussions, and helping customers integrate AI-driven solutions into their workflows. You’re equally skilled at reading a room, building trust with executives, and uncovering growth opportunities that come from technical adoption. You’ve likely been a Partner Manager, Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer, and you’re excited to bring that blended experience to help customers realize value from day one and scale it over time. As a Partner Success Engineer, you will nurture and grow relationships with strategic customers and technology partners, leading initiatives that drive joint adoption, enablement, and measurable business outcomes. You will own the lifecycle for assigned partners from onboarding and enablement through engagement, performance analysis, and expansion. You will be pivotal in aligning partner strategies with Deepgram’s roadmap and strategy, ensuring both Deepgram and our partners achieve shared success. What You’ll Do Develop and scale best practices, processes, and tools for partner success management. Act as a technical expert and strategic advisor to strategic partners, engaging directly with developers, engineers, and executives to align business goals with technical solutions. Build, nurture, and sustain partner/customer relationships across all personas interacting with Deepgram (from developers, program managers to CIOs, CTOs, and other C-level stakeholders). Conduct regular on-site visits with partners, work hands-on to drive adoption, and actively embed Deepgram into their workflows Own and manage the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy. Focus on making Deepgram successful in the partner ecosystem; ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes. Continuously operate in discovery mode, surfacing issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams. Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth. Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies. Leverage AI to amplify your impact; be an expert in how you can apply AI to drive customer outcomes, surface insights, and improve internal systems. Proactively identify & scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales. Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth. Serve as the voice of the customer internally, influencing product roadmap, GTM strategy, and even the internal tools and processes we build to support customers. Track, analyze, and report on key performance indicators (adoption, usage, health, satisfaction, expansion, and overall revenue impact). Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes. You’ll Love This Role If You Thrive at the intersection of sales engineering, account management, and customer success. Have high EQ and high learning index, you read the room, adapt your style, and quickly absorb technical and business complexity. Are a strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership. Are energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes. See customer health and technical adoption not as endpoints but as the fuel for revenue expansion. Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly. Have a high degree of integrity and can work both collaboratively and independently in a remote WFH environment. Being self-directed is key to staying proactive. Enjoy leveraging data to guide decisions, uncover insights, and identify opportunities for program improvement. Are persistent, resourceful, and able to adapt your communication style to suit both technical and business audiences. Are thoughtful in your approach and constantly question the status quo. Just because we do things a certain way, doesn’t mean it’s the best way! It’s Important To Us That You Have 7–10+ years in Technical Account Management, Sales Engineering, and/or Enterprise Customer Success (with strong technical focus), at innovative, API-driven technology companies (developer-first, developer tools, or emerging AI/tech) A proven track record in roles that blend customer engagement with technical expertise, navigating between solution design, technical problem-solving, and commercial growth. Hands-on experience with running product demos, POCs, or technical workshops with enterprise customers. Demonstrated success identifying expansions, cross-sell, and upsell opportunities in complex enterprise accounts. Strong technical aptitude: able to discuss APIs, developer workflows, and troubleshoot basic L1-style support questions (no coding required, but must be fluent in technical conversations) Experience engaging across technical teams (developers, architects, support) and executive buyers (CIO, CTO, VP Engineering, etc.). Demonstrated success building strong relationships and delivering key business outcomes. Exceptional interpersonal, communication and collaboration skills, with proven ability to influence internal and external stakeholders (including executives, technical teams, and sales). A strong sense of ownership and stewardship for your customers, and a keen focus on developing a strong personal brand. A strong understanding of partner ecosystems, channel business models (resale, referral, integrations, co-marketing, co-selling), and multi-party commercial dynamics. Experience building new processes from the ground up. Experience building or scaling a customer success or channel program. It Would Be Great If You Had A background spanning solutions engineering, technical account management, or L1 support in addition to CSM or Partner Management responsibilities. Experience working in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies. Familiarity with automation tools, advanced analytics, and/or basic scripting that help you move faster and smarter. Familiarity with channel/partner marketing, enablement programs, or technical enablement asset creation. This job description incorporates the strategic focus, cross-functional partnership, and data-driven approach that define Deepgram’s go-to-market and customer-centric roles. If you’re passionate about helping partners and technology companies thrive together, and you love operating where innovation and relationship management intersect, we’d like to hear from you. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Design and maintain scalable backend services, data pipelines, and developer tooling for AI workloads. | 5+ years backend development with Python, Go, or Node.js, experience with container orchestration, data pipelines, AI APIs, and CI/CD. | Company Overview Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram Opportunity: We are seeking an experienced (Senior/Staff level) Backend Engineer to design, implement, and maintain our large-scale distributed systems infrastructure. You'll be responsible for building and optimizing our network architecture, storage solutions, and compute platforms that power our AI/ML workloads. This role combines expertise in network engineering, storage systems, and modern container orchestration platforms, with a focus on reliability, scalability, and cost-effectiveness. What You’ll Do • Design, build, and maintain scalable backend services and APIs for our internal developer platform. • Develop and manage robust data pipelines to support engineering and research workflows. • Build tooling and automation to enhance developer productivity and streamline CI/CD processes. • Collaborate with product and research teams to integrate new AI capabilities into the platform. • Ensure the reliability, performance, and scalability of the platform's backend infrastructure. You’ll Love This Role If You • Are passionate about building scalable, high-performance backend systems. • Enjoy designing and implementing robust data pipelines and developer workflows. • Love solving challenging problems by building resilient backend services and APIs. • Are excited about leveraging AI to enhance developer productivity and platform capabilities. • Want to work at the intersection of software engineering, data, infrastructure, and AI. It’s Important To Us That You Have • 5+ years of experience in backend software development. • Proficiency in back-end development (e.g., Python, Go, Node.js). • Demonstrated experience building internal developer platforms or similar developer-centric tooling. • Proficiency with data engineering concepts and building ETL/ELT pipelines. • Expertise in leveraging AI APIs or building applications on top of large language models. • Experience with containerization (Docker) and orchestration platforms (Kubernetes). • A strong understanding of CI/CD principles and building automated pipelines. It Would Be Great if You Had • Experience with Infrastructure-as-Code (e.g., Terraform, Pulumi). • Familiarity with distributed data stores (e.g., NoSQL, object storage). • Experience with message queues and event-driven architecture (e.g., Kafka, NATS). Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.