Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

• Returning to a degree program after completion of the internship

Experience Requirements:

• Experience in one or more areas of Computer Science, such as Large Language Model, Natural Language Processing, Natural Language Understanding, Neural Networks, Machine Learning, Deep Learning, Graph Representation, Data Management, Data Integration, Human-Computer Interaction, AI with Humans In The Loop or similar

• Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes

• Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals

Other Requirements:

• Ability to design and execute a research agenda

• Applicants must have or be able to obtain appropriate U.S. work authorization for the internship period

• Available to work full time for 12 weeks during the respective term

Responsibilities:

• Focus on high-impact projects while closely working with our Research Scientists as their mentors

• Participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences

• Develop multi-agent systems to extend LLM capabilities for complex real-world tasks across specialized domains

Benefits:

• Work primarily remote with occasional travel to headquarters and company offsites

• Competitive salary and equity package

• Comprehensive benefits including health, dental, and vision insurance

• Professional development opportunities

Experience Requirements:

• 6–8 years of full-cycle recruiting experience

• At least 2 years sourcing and closing technical roles (Software Engineers, ML/AI, DevOps, or similar)

Other Requirements:

• Demonstrated ability to build sourcing pipelines from scratch

• Comfortable running structured interview processes and advising hiring managers

• Strong written communication

• Active and fluent use of AI tools in day-to-day work

Responsibilities:

• Manage a pipeline of 4–6 active technical requisitions with strong candidate quality and consistent velocity

• Own the full recruiting cycle for open roles—sourcing, screening, coordinating, and closing

• Identify and implement at least one meaningful sourcing or process improvement per quarter

• Maintain accurate, up-to-date data across the ATS

• Contribute to offer conversations with confidence

Benefits:

• Equity included in offer package

Experience Requirements:

• 7+ years of experience designing conversational interfaces (voice assistants, IVR systems, any kind of voice AI)

• Demonstrated expertise with both traditional NLU frameworks and generative AI/LLM technologies

• Experience contributing to design standards and following established processes

• Experience with evaluating genAI agents and metrics-driven design

• Proven ability to design and build technically complex flows with multiple logical branches

Other Requirements:

• Experience with parameter extraction, validation logic, and dynamic response generation

• Strong understanding of programming concepts like variables, loops, and conditional statements

• Proficiency implementing conversation flows that integrate with external systems via APIs

• Proficiency with conversation design tools and prototyping platforms

• Active, hands-on use of AI tools in your daily workflow

Responsibilities:

• Design end-to-end conversational flows for generative AI capabilities, for both voice and chat

• Build robust error handling and fallback mechanisms for conversation recovery

• Create and test dialog that maintains a consistent voice, tone, and personality across the product

• Partner with engineers to define prompts and guardrails for LLM integration, and evaluate LLM performance in production

• Analyze conversation transcripts, audio, and metrics to identify friction points and turn them into concrete design improvements

Benefits:

• Competitive salary and equity package

• Comprehensive benefits including health, dental, and vision insurance

• Professional development support, including a track toward people management

• Direct exposure to company-level strategy and executive decision-making

Experience Requirements:

• 6–8+ years of product management experience, with a track record of owning and shipping across genuinely varied product surfaces

• Demonstrated ability to work 'full stack' (0-to-1 discovery, technical trade-offs, polished execution)

• Experience navigating ambiguity and making prioritization calls with little oversight

• Track record of helping other PMs get better

Other Requirements:

• Strong written and verbal communication

• Active, hands-on use of AI tools in daily workflow

Responsibilities:

• Own the requirements and outcomes for multiple product areas (or one company-critical area)

• Contribute to roadmap planning with data and prototype-driven recommendations

• Shape how the broader PM team approaches discovery and prioritization

• Coordinate cross-area initiatives with other PMs

• Collaborate directly with designers and tech leads to develop and document requirements, design, and technical plans

Benefits:

• Competitive compensation including rewards and benefits

• Equity included in offer package

• Learning and development support including weekly trainings and coaching sessions

Experience Requirements:

• 3+ years of sales experience with a proven track record of exceeding targets

• Must have experience in SaaS or hospitality (hotels or restaurants)

Other Requirements:

• Self starter, hunter, closer, curious, resourceful, and resilient

• Strong business acumen to speak directly to a prospect's business problems

• Grit, adaptability, and coachability

• Strong written and verbal communication skills with high EQ

Responsibilities:

• Proactively prospecting and closing new business opportunities

• Conduct value based discovery and demos

• Manage sales pipeline to ensure predictable closed deals

• Expand existing and new market segments strategically

• Work closely with Implementation and Customer Success teams

Benefits:

• Competitive compensation including rewards and benefits

• Equity included in offer package

• Opportunities for learning and development, including weekly team trainings and 1:1 coaching

Experience Requirements:

• 3+ years of sales experience with a proven track record of exceeding targets

• Experience in SaaS or hospitality (Hotels or restaurants) is a plus

Other Requirements:

• Self starter, hunter, closer, curious, resourceful, and resilient

• Strong business acumen

• Grit, adaptability, and coachability

• Strong written and verbal communication skills with high EQ

Responsibilities:

• Proactively prospecting and closing new business opportunities

• Uncover business impact, quantify value, and position Slang via demos

• Expand both existing and new market segments strategically

• Manage sales pipeline to ensure quality multi-threading with key stakeholders

• Work closely with Implementation and Customer Success teams

Benefits:

• Competitive compensation including rewards and benefits

• Equity included in offer package

• Opportunities for learning and development including weekly trainings and coaching

Experience Requirements:

• 3+ years of sales experience with a proven track record of exceeding targets

• Must have experience in SaaS or hospitality (hotels or restaurants)

Other Requirements:

• Self starter, hunter, closer, curious, resourceful, and resilient

• Business acumen to act as a consultant

• Grit, adaptability, and coachability

• Strong written and verbal communication skills with high EQ

Responsibilities:

• Proactively prospecting and closing new business opportunities

• Conduct value-based discovery and demos

• Strategically expand existing and new market segments

• Manage pipeline to ensure steady flow of closed deals

• Collaborate with Implementation and Customer Success teams

Benefits:

• equity

• comprehensive healthcare

• paid time off

Education Requirements:

• Bachelor's degree in computer science, business, marketing, communications, or a related field is preferred

Experience Requirements:

• 8 + years of experience in customer success, account management, project management or a related customer-facing role

Other Requirements:

• Proficiency in using CRM tools, such as Salesforce, Atlassian Suite, Product Board or others

• Familiarity with SaaS, Conversational and Generative AI is preferred

• Excellent communication skills, both written and verbal

• Strong project management skills

• Solid understanding of various technologies including cloud computing, integrations, API familiarity, and automation tools

Responsibilities:

• Provide onboarding, training, and enablement resources to ensure customers maximize platform capabilities

• Act as the main point of contact for customers, addressing their needs and providing solutions

• Ensure reporting deliverables are accurate, timely, and aligned to client expectations

• Monitor customer health scores and proactively intervene on at-risk accounts

• Develop and maintain customer success plans grounded in each client’s business objectives, KPIs, and conversational AI deployment goals

Benefits:

• variable

• equity

• comprehensive healthcare

• paid time off

Experience Requirements:

• 12+ years of enterprise SaaS sales experience, with a track record of closing complex, multi-stakeholder deals into Banking and Financial Services organizations

• Direct experience selling into Banking, Financial Services, or Insurance

• Track record selling enterprise software core banking, CRM, ERP, cloud infrastructure, or contact-center platforms

• Proven quota attainment, with experience managing $1M-$2M quotas and 6 to 7 figure ACV deal cycles

Other Requirements:

• Comfort managing a pipeline of 20+ concurrent opportunities

• Strong executive presence

• Sharp instincts for qualifying, forecasting, and handling objections

• Travel: Up to 50%

Responsibilities:

• Own your pipeline across a defined list of named accounts

• Multi-thread the account: build trusted relationships with C-suite and line-of-business stakeholders

• Navigate the regulated buyer: work fluently with procurement, legal, information security, and compliance review

• Orchestrate the deal team: bring in Solutions Consulting, Marketing, Executive Leadership, and Finance

• Lead RFP/RFI responses

Experience Requirements:

• 3–5 years of experience in Data Analytics, Business Intelligence, Reporting, RevOps, or CS/Sales Ops

Other Requirements:

• Strong hands-on experience with BI/visualization tools — Power BI, Tableau, Looker, or similar

• Advanced proficiency in Excel/Google Sheets

• Working knowledge of SQL for querying and joining data from multiple sources

• Experience building or maintaining dashboards consolidating multiple data sources

• Comfort working with messy, real-world data

Responsibilities:

• Design, build, and continuously iterate a centralized CS command center/dashboard

• Build and maintain dashboards tailored to different audiences

• Ingest, clean, and merge data from multiple sources into unified, trustworthy datasets

• Define, track, and report on SLA/KPI frameworks across a multi-tier client portfolio

• Reduce manual reporting effort by building repeatable, automated report generation

Benefits:

• variable

• equity

• comprehensive healthcare

• paid time off

Experience Requirements:

• 8+ years of proven success in B2B SaaS sales in the financial services industry

• Strong knowledge of Contact Center tools and processes, including CCaaS platforms

• Proven history of meeting or exceeding sales targets and driving revenue growth

• Experience managing 20+ opportunities at once

• Record of selling complex software solutions to financial executives

Other Requirements:

• Strong understanding of financial services industry trends

• Consultative sales approach

• Demonstrated ability to prospect, build pipeline, and sell to C-level decision-makers

• Willingness to travel as necessary

• Experience with autonomic, cognitive, and analytic solutions that impact operations (preferred)

Responsibilities:

• Drive sales to meet and exceed revenue targets in the financial services sector

• Manage relationships with key accounts and stakeholders, contributing to high-impact deals

• Deliver presentations to executives demonstrating value

• Execute a land-and-expand strategy to grow SoundHound’s presence across financial institutions

• Collaborate with Product and Marketing on go-to-market strategies tailored to financial services

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 5+ years of experience in software engineering or technical program management

• Experience in technical program management includes Linux, Python, C++, ASR as well as knowledge of AI technologies

Other Requirements:

• Solid programming knowledge, ideally including C++

• Ability to lead cross-functional and cross-cultural teams

• Exceptional communication skills for engaging partners

Responsibilities:

• Contribute directly to building SoundHound’s automotive Voice AI product

• Collaborate with top automakers to integrate SoundHound’s Voice AI into vehicles

• Act as a go-to expert on SoundHound’s Voice AI, guiding partners with your deep technical knowledge

• Troubleshoot: gather data, replicate/resolve/escalate issues, test solutions

• Own all technical aspects of the partner project

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 5+ years of experience in software engineering or technical program management

• Experience in software engineering includes Linux, Python, C++, ASR as well as knowledge of AI technologies

Other Requirements:

• Strong software and audio engineering skills

• Exceptional communication skills

• Demonstrated ability to lead cross-functional and cross-cultural teams

Responsibilities:

• Collaborate with top automakers to build relevant PoC and Demos

• Support Automoakers in integrating SoundHound’s Voice AI into vehicles

• Act as a go-to expert on SoundHound’s Voice AI technology stack

• Troubleshoot: gather data, replicate/resolve/escalate issues, test solutions

• File detailed tickets, escalate issues to engineering, and contribute to the refinement of our products

Experience Requirements:

• Proven ability to manage multiple high-stakes projects simultaneously in a fast-paced SaaS or AI environment

• Advanced experience with project management and tracking tools, specifically Jira, Confluence, and Bitbucket/Git

Other Requirements:

• Technical Literacy: understand concepts like CI/CD pipelines, Kubernetes, and Cloud infrastructure (AWS/GCP/Azure)

• Strategic Thinking mindset of continuous improvement

• Elite verbal and written communication skills

Responsibilities:

• Track the end-to-end lifecycle of product installations and upgrades

• Utilize Jira and Slack integrations to monitor upgrade success/failure rates and provide high-level status reports

• Design and implement organizational systems or 'trackers' to manage client-specific git repositories

• Act as the primary point of contact between Release Management, R&D, and external Partners

• Ensure that Confluence documentation for both internal teams and external partners remains up-to-date

Benefits:

• variable pay

• equity

• comprehensive healthcare

• paid time off

Experience Requirements:

• 10+ years of proven success in B2B SaaS sales in the healthcare industry, with a focus on health systems

• Demonstrated experience selling complex software solutions to healthcare executives

• Proven track record of meeting or exceeding sales targets and driving sustained revenue growth

• Proven success in prospecting, building a pipeline, advancing opportunities through the sales cycle, and presenting solutions to C-level executives

Other Requirements:

• Deep understanding of healthcare industry trends

• Consultative sales approach

• Strong knowledge of Contact Center tools and processes, including CCaaS platforms like Genesys, Five9, NICE, etc.

• Ability to manage a pipeline of 20+ opportunities simultaneously

• Willingness to travel as necessary

Responsibilities:

• Drive sales to meet and exceed revenue targets within the healthcare sector

• Act as a key contributor in high-impact deals, managing relationships with key healthcare accounts and stakeholders

• Deliver impactful presentations to healthcare executives

• Execute a 'land and expand' strategy to grow SoundHound’s footprint within health systems, providers, and digital health innovators

• Collaborate with Product and Marketing teams to shape go-to-market strategies

Education Requirements:

• A PhD or equivalent research experience

Experience Requirements:

• 2–3+ years of hands-on experience applying generative models at scale

• Expertise in diffusion models and awareness of the latest efficiency techniques

• Experience in multimodal generation — spanning video, audio, and language

• Proven innovation in long-video generation and/or audio generation

• Track record of publications in top-tier venues (CVPR, NeurIPS, BMVC, ICASSP, etc.)

Other Requirements:

• Excellent programming skills — fluent in PyTorch and GPU-optimized workflows

• Experience leading research activities or mentoring teams

• Skills in 3D graphics, Gaussian splatting, or large-scale training setups (nice-to-have)

• Broad exposure to generative AI models beyond your specialty (nice-to-have)

• Familiarity with software development best practices (nice-to-have)

Responsibilities:

• Lead research efforts on audio-visual generation for avatars (Neural Avatars, Talking-Heads), with a focus on conversational settings

• Design models that are coupled with conversation flow — capturing and generating verbal + non-verbal signals in sync

• Drive innovation in diffusion models, long-video generation, and audio-visual modeling

• Translate research into production by partnering with Applied ML and engineering

• Mentor researchers, set research directions, and publish impactful work

Benefits:

• Flexible work schedule

• Unlimited PTO

• Competitive healthcare

• Gear stipends

Other Requirements:

• Holistic thinker who understands user journeys

• Ability to craft high-fidelity web experiences, cinematic marketing assets, and narrative-driven campaigns

• Strong understanding of product mindset and IA, messaging logic, and typography

Responsibilities:

• Lovingly and relentlessly evolve the soul and spirit of Tavus across website, social presence, and sales collateral

• Act as the ethos bridge between Marketing and Product

• Use your product mindset to optimize high-traffic marketing surfaces and drive conversion

• Spend ~20% of your time integrated with the product team contributing to design systems and high-visibility moments

• Continually push the ceiling for what quality looks like at Tavus

Education Requirements:

• A PhD (or near completion) in a relevant field, or equivalent research experience

Experience Requirements:

• Hands-on experience with Large Multimodal Models and a strong foundation in generative (language) models

• Experience in fine-tuning/adapting VLMs for control, conditioning, or downstream tasks

• Solid background in deep learning and foundation modes

Other Requirements:

• Strong PyTorch skills and comfort building deep learning pipelines

• Knowledge of large-scale model training and optimization (nice-to-have)

• Experience in duplex-conversational model (nice-to-have)

• Broader understanding of generative AI across modalities (nice-to-have)

• Exposure to software development best practices (nice-to-have)

Responsibilities:

• Conduct research on Large Multimodal Models in the context of Conversational Avatars (e.g. Neural Avatars, Talking-Heads)

• Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time, with low-latency

• Experiment with fine-tuning, adaptation, and conditioning techniques to make AudioVisual Multimodal Models more expressive, controllable, and task-specific

• Partner with the Applied ML team to take research from prototype to production

• Stay up to date with cutting-edge advancements — and help define what comes next

Benefits:

• Flexible work schedule

• Unlimited PTO

• Competitive healthcare

• Gear stipends

Experience Requirements:

• Experience with LLMs and multimodal datasets

• Strong Python, SQL, and large-scale data processing experience

Other Requirements:

• Extreme ownership of data strategy

• Strategic, ML-first mindset

• Strong automation skills

• Ability to define best practices in new problem spaces

Responsibilities:

• Be a data visionary, anticipating future data needs

• Influence AI model training through high-quality data

• Own data end-to-end: sourcing, structuring, scaling

• Source and curate multimodal data (text, video, images)

• Master video data challenges for ML training

Benefits:

• Flexible work schedules

• Unlimited PTO

• Competitive healthcare

• Gear stipends

• Relocation support offered

Experience Requirements:

• Strong experience in deep learning using PyTorch

• Hands-on experience with model optimization and compression, including knowledge distillation, pruning/sparsification, quantization, and mixed precision

• Understanding of efficient architectures such as low-rank adapters

• Experience working with large models and datasets in cloud environments

Other Requirements:

• Strong understanding of inference performance and GPU/accelerator fundamentals

• Strong Python coding skills and reliable research engineering practices

• Ability to read ML papers, reproduce results, and adapt ideas

• Clear communication and collaboration skills

• Familiarity with TensorRT, ONNX Runtime, TVM, Triton, or XLA (preferred)

Responsibilities:

• Take cutting-edge research models and make them fast, efficient, and production-ready using sparsification, distillation, and quantization

• Own the optimization lifecycle for key models: define metrics, run experiments, and benchmark trade-offs across latency, cost, and quality

• Partner closely with researchers and engineers to turn new ideas into deployable systems