Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• 5+ years of exceptional sales experience, with a proven track record of consistently exceeding quota in a high-growth, product-led SaaS, AI, or developer tools company

Responsibilities:

• Own the full sales cycle, from prospecting to closing deals with both self-serve and enterprise customers

• Consistently meet or exceed individual quota targets

• Engage directly with high-value prospects and customers, driving complex sales cycles from start to finish

• Conduct product demonstrations and create collateral for potential clients

• Collaborate closely with product, engineering, and marketing teams to refine our value proposition and sales approachUtilize sales tools, CRM systems, and analytics to optimize your sales process and decision makingProvide regular insights to the leadership team on market trends, customer feedback, and growth opportunitiesDevelop and refine scalable sales processes and playbooks as we growIdentify and pursue strategic partnerships to expand our market reach

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research at the intersection of machine learning, multimodal data, and generative modeling to advance the state of AI across audio, text, vision, and other modalities.

• Develop novel algorithms for multimodal understanding and generation, leveraging new architectures, training algorithms, datasets, and inference techniques.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).

• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research to improve the efficiency, scalability, and robustness of inference for state-of-the-art AI models across various modalities, including audio, text, and vision.

• Design and optimize inference pipelines to balance performance, latency, and resource utilization in diverse deployment environments, from edge devices to cloud systems.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Lead the design and creation of high-quality datasets tailored for training cutting-edge audio models, focusing on tasks such as speech recognition, enhancement, separation, synthesis, and speech-to-speech systems.

• Develop strategies for curating, augmenting, and labeling audio datasets to address challenges like noise, variability, and diverse use cases.

• Design innovative data augmentation and synthetic data generation techniques to enrich training datasets and improve model robustness.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• At least 5 years of experience in implementing and training models including advanced degrees (MS/PhD, if any).

Responsibilities:

• implement new model backbones, architectures and training algorithms,

• rapidly run and iterate on experiments and ablations,

• build training infrastructure that scales to massive multimodal datasets,

• stay up-to-date on new research ideas.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Be the driving force behind new products, taking them from concept to launch with a focus on professional-grade utility and smooth user onboarding

• Translate the latest AI research into practical, high-performance products

• Design and implement intuitive interfaces that make frontier AI capabilities accessible

• Prototype and launch new AI-driven products and experiences

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.

• Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.

• Design and build robust inference infrastructure and monitoring for our products.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• 3-4 years of experience through at a top consulting, investment banking or private equity firm in addition to high growth startup

Responsibilities:

• Build financial models and analyze business metrics to inform strategic decisions

• Design and implement scalable processes across GTM, customer success, and core operations

• Create compelling materials for strategic presentations and partnerships

• Build customer success playbooks to drive activation and value delivery

• Lead cross-functional projects that directly impact company trajectory such as customer success, security/compliance, partnerships, community-building, and more.

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field, or equivalent practical experience.

Experience Requirements:

• Proven experience in a sales or business development role, preferably within a startup or fast-paced environment.

• Strong communication skills, both written and verbal, with the ability to engage and persuade potential clients

• Experience with CRM software (e.g., Salesforce, HubSpot, Attio) and sales engagement tools

Responsibilities:

• Generate new business pipeline primarily through prospecting outbound opportunities

• Manage inbound leads that are driven by outbound effort

• Nurture early-stage opportunities

• Partner with your AE to identify and source net new pipeline and assist by researching lines of business and personas

• Identify key decision makers within new accounts

Benefits:

• Unlimited time off

• Mental health days

• Paid parental leave

• $500 home office improvement budget

• $500 annual learning & development budget

Experience Requirements:

• 2+ years of sales leadership experience, leading teams focused on selling to commercial accounts

• Expert knowledge and experience in building and motivating sales teams, growing pipeline, and hitting and exceeding revenue targets

• Track record of hiring, developing, and promoting Account Executives

• Strong background in selling to enterprise customers, with a deep understanding of the complexities and nuances of enterprise sales cycles.

Responsibilities:

• Hire, develop, and coach your team of Account Executives to meet and exceed sales objectives

• Partner x-functionally to drive a team-based approach to winning and growing Commercial accounts

• Drive operational excellence through a tight operating rhythm and structured sales process

• Be a product expert and feel comfortable assisting your team in generating, advancing, and closing strategic deals

• Accurately assess the skills, motivators, and career goals of each team member and provide ongoing coaching to improve their performance and support their career path

Experience Requirements:

• You have a knack for building intuitive UIs and seamless user experiences.

• You blend design thinking with solid engineering skills.

• You enjoy iterating quickly based on real user feedback.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Benefits:

• 💰 Equity and ownership in a fast-growing company.

• 🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.

• 💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.

• 💻 Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.

• 📚 Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.

Experience Requirements:

• You have at least 5+ years of experience as a full stack engineer, and are confident driving architectural decisions on both frontend and backend while being proficient in SQL for query and data analysis.

• You have demonstrated success collaborating with partners in product, design and analytics to define, build, and ship great products and experiences.

• You have experience leading large projects from idea to high quality delivery.

Responsibilities:

• You will architect and build features that our SMB employers will use daily.

• You will lead by example in maintaining a high standard of quality in your own work and in the feedback provided to peers in code review and architecture discussions.

• You will lend your technical knowledge and experience to influence the team’s roadmap and prioritization of innovation and operational health initiatives such as quality control and on-call.

Education Requirements:

• Master’s degree in computer science, Computer Engineering, Robotics Engineering, Mathematics, foreign equivalent or closely related field.

Experience Requirements:

• One (1) year of experience in job offered, Systems Engineer, Robotics Software Engineer, Content Writer or closely related.

• Position requires six (6) months of experience in: C++ and Python programming languages, Linux, Computer vision algorithms, camera calibration and other vision sensors, 3D computational geometry algorithms and related mathematics, Embedded computer platforms, low level stack and interface with application layers, Machine learning, Deep learning for computer vision.

Responsibilities:

• Analyze user needs and design new application architectures to develop software solutions for new customer problems.

• Develop end-to-end machine learning pipelines based on product requirement documents.

• Build new applications software testing environments based on recent scholarly articles with a focus on delivery speed.

• Review team code and enforce engineering best practices during the review process.

• Mentor junior engineers on computer science and computer vision topics.

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy