CAREERSFORGE / YOUR NEXT MOVE
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Readiness · Getting started
Activities recorded · 0
PRIVATE, IN-BROWSER TOOL
Decode a Rejection Email
Paste only what you’re comfortable reviewing. This tool matches common wording in your browser; it does not save the email, send it to AI, or know why the employer made its decision.
Wording found in the email
Possible meaning — not a fact about this decision
Three practical next steps
60-SECOND CLARITY ROUND
Spot the Red Flag
These are illustrative practice snippets, not quotes from real employers. A phrase alone does not prove a workplace is harmful; use it as a prompt to ask for specifics.
Choose the wording that needs a follow-up question. Clear scope, documented onboarding, and reasonable boundaries are useful context too.
Use the explanation as a conversation starter, not as a verdict on a company.
Quick Start: How Ignis Works
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1. Build or Scan
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2. Train Your Focus
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3. Consult Ignis
Use your recorded results to plan a next step.
Your next step with Ignis
Ask Ignis to connect your recorded results and suggest one practical next step.
Your next step starts here
Your performance radar unlocks after your first recorded activity. Complete a 2-minute mock interview or scan a resume to generate your report.
Career Health Radar
Complete a resume review or a Brain Training session to see your results here.
Readiness labels summarize recorded practice. They are planning cues, not hiring predictions or a measure of job suitability.
Strengths and priorities
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Open Interview Practice →Top matched roles
Compare your evidence with a role in Job Radar to calculate a match.
Activity mix
Your next step starts here
Your practice dashboard unlocks after your first recorded activity. Begin with a short interview or resume review, then explore your daily sprint and training.
Daily Career Sprint
Daily Confidence Pill
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TODAY’S CHALLENGE
One small practice, chosen for today
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Brain Training
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Skill scores average the latest result from each played exercise in that category. Open a category to see each exercise.
YOUR ROLE, YOUR NEXT MOVE
Job Radar
Explore published opportunities, filter by your priorities, and open a listing to review its requirements and apply. Choose “Open match details in Workspace” to compare your analyzed resume with the role and plan your next step.
Tool preparation
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Open roles
1,467 jobs found · Showing 1–12
ROLE MATCH
Director of Research, Text-to-Speech at Deepgram
Review your resume for this role →
{"title":"Director of Research, Text-to-Speech at Deepgram","requirements":["You Must Have"],"description":"Company Overview\nDeepgram is bringing the world\u2019s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.\nThe Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world\u2019s conversations with AI run on our models.\n\nAI-First by Default\nAt Deepgram, we expect an AI-first mindset\u2014AI use and comfort aren\u2019t optional, they\u2019re core to how we operate, innovate, and measure performance.\nEvery 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.\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. If you\u2019re energized by experimenting, adapting, and learning constantly, you\u2019ll thrive here. Expect your day-to-day to evolve as fast as the technology does.\n\nThe Opportunity\nWe\u0027re looking for a Director of Research to own our Text-to-Speech program end to end \u2014 the research strategy, the technical bets, and the models that ship. This is a hands-on leadership role: you set direction and stay in the details, shaping architectures, experiments, training strategy, and evaluation. You\u0027ll also build the team and operating model that let exceptional researchers move fast without lowering the bar.\n\nThe mandate is broad: advance the state of the art in speech generation, and turn those advances into models in production.\nWhat You\u0027ll Do\n\n\nOwn the TTS research and model roadmap \u2014 decide which technical directions can materially move speech-generation quality, including the expensive and non-obvious ones, and recognize when an approach should change or die.\n\n\nDrive advances across neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance \u2014 and make sure they land as measurable production gains.\n\n\nStay deeply technical: review research, challenge assumptions, design experiments, diagnose model failures, and take on the highest-leverage problems yourself.\n\n\nBuild evaluation and benchmarking that explains why models improve, not just whether they did \u2014 automated metrics alongside human perceptual assessment.\n\n\nLead a mix of individual contributors and tech lead managers. Hire and develop both, hold an exceptionally high technical bar, grow senior researchers into technical leaders, and set direction across sub-teams while pushing decisions down to the people closest to the work.\n\n\nPartner with engineering and product leadership on ship-readiness, and represent Deepgram\u0027s TTS research internally and externally.\n\n\nYou\u0027ll Love This Role If You\n\n\nWant to own a frontier-model program end to end rather than optimize one slice of someone else\u0027s agenda.\n\n\nCare about the breakthrough and the ship in equal measure.\n\n\nStill love training runs, failed evals, and architecture arguments, even as most of your impact now comes through the people you lead.\n\n\nGet energy from deciding which bets are worth making when the answer isn\u0027t obvious and the experiments are expensive.\n\n\nYou Must Have\n\n\nDeep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models.\n\n\nCommand of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost.\n\n\nA history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren\u0027t working.\n\n\nExperience leading researchers and research engineers through other technical leaders \u2014 developing tech lead managers or equivalent, setting direction across sub-teams \u2014 while staying technically influential yourself.\n\n\nAI as your default mode of work, not an occasional tool. You\u0027ve rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can\u0027t do in speech research.\n\n\nThe ability to make complex technical tradeoffs legible to product, engineering, and executive audiences.\n\n\nIt\u0027d Be Great If You Had\n\n\nTTS or generative-audio models deployed at meaningful production scale.\n\n\nBuilt or substantially scaled a high-performing AI research organization.\n\n\nSophisticated evaluation systems for generative speech; expressive or multilingual generation, voice cloning and adaptation, or controllable generation.\n\n\nRecognized external contributions \u2014 publications, open source, patents, invited talks \u2014 in speech synthesis, neural audio codecs, speech language models, or multimodal models.\n\n\nExperience in fast-moving startup or research environments that routinely take models from idea to production.\n\n\nNotice: We\u0027re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you\u0027ve received a message claiming to be Deepgram, please forward it to [email protected]."}0%
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