Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Education Requirements:

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

Experience Requirements:

• 2-5 years of full-time product management or related industry experience

• Experience building AI products or deeply using LLMs

Responsibilities:

• Spearhead the strategy and development of AI agents for the use of investors and other users within the Financial Services industry

• Deeply understand the technology and psychology behind AI and agents

• Own the full lifecycle of products from inception and development to rollout and ongoing success

• Craft a narrative, define product requirements, and prioritize effectively

• Collaborate with leadership, engineers, and other stakeholders to deliver high-quality products

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Education Requirements:

• A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)

Experience Requirements:

• 1+ years of software engineering experience in a production environment

• Experience with Python, PyTorch, LLM prompting

Responsibilities:

• Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions

• Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation

• Stay curious on AI research at all levels of the stack

• Shape culture and research best practices for the team, and the rest of the org

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 4+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Collaborate closely with leadership, applied scientists, and other engineers to ensure alignment on decisions

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 5+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Help formulate technical roadmap by collaborating closely with leadership, applied scientists, and other engineers

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Experience Requirements:

• Minimum ​of 5 years of experience in SoC integration

Responsibilities:

• Architecture, ​design, ​and integrate ​AI acceleration SoC systems

• Coordinate ​with ​other team ​members throughout the ​design process ​to ​ensure all ​aspects ​of ​the design are ​addressed

• Collaborate ​closely with cross-functional ​teams ​to ​integrate the SoC

• Collaborate ​and communicate ​with ​DSP for ​SoC implementation

• Collaborate ​on ​silicon bring-up and ​debugging

Responsibilities:

• Firmware ​development ​for DDR ​memory controller, validation, and ​debugging

• Planning ​and executing ​memory interfaces, validation, ​and feature ​enablement

• Tuning/Optimazation ​of DRAM ​interface ​timing ​and IO setting

• Collaborate ​with ​the HW test ​engineers ​for ​tunning/optimazation

• Identify any functional ​issues, and ​perform ​root-cause analysis, ​and drive ​closure ​of the issues ​found

Experience Requirements:

• 8-12 years experience in enterprise sales processes & managing accounts, including complex negotiations, deal structuring, and long sales cycles.

Responsibilities:

• Develop and execute sales strategies tailored for enterprise clients, including long-term account plans and growth strategies.

• Identify and target key enterprise accounts that align with the company’s goals and capabilities.

• Build and maintain strong relationships with key decision-makers and stakeholders within enterprise accounts.

• Serve as the primary point of contact for major clients, addressing their needs, negotiating contracts, and ensuring high levels of customer satisfaction.

• Oversee the sales process for large and complex deals, from lead generation and qualification to negotiation and closing.

Experience Requirements:

• 4-8 years of experience in recruiting, with a strong focus on GTM roles (Sales, Marketing, Customer Success, and Partnerships).

Responsibilities:

• Manage the full-cycle recruitment process for GTM roles across the US and international markets, from job requisition to onboarding.

• Identify and engage top talent through various channels, including LinkedIn, job boards, professional networks, and referrals.

• Partner with hiring managers and leadership teams to understand hiring needs, define role requirements, and align on recruitment strategies.

Responsibilities:

• Effortless brief creation

• Market trend insights

• Competitor analysis

• Innovative idea generation

• Project management and execution

Benefits:

• Coaching

• Amazon Kindle

• Amazon free library

• English lessons

• SZÉP Card Medicover insurance Bicycle Nursery support Eyeglass allowance Sport tickets

Experience Requirements:

• 3+ years of PM experience

Responsibilities:

• Analyze product data and session recordings to uncover pain points, identify opportunities, drive product adoption.

• Lead agile rituals (standups, planning, reviews, retrospectives).

• Coordinate product discovery, delivery, and GTM with design, engineering, QA and success teams.

• Document product requirements, user stories, and QA issues.

• Collaborate with leadership on planning and strategy. Own and prioritize the product backlog and roadmap. Participate in English and Hungarian language customer meetings. Stay up-to-date on competitors, industry trends, and PM practices

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Customer Success Experience

• L1 support experience

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Marketing experience

Responsibilities:

• Implement CRO-focused ecommerce campaigns using OptiMonk to enhance website performance and increase conversion rates for our clients Execute A/B and multivariate tests to optimize conversion funnels Monitor and analyze website performance using web analytics tools Generate reports and present findings to clients on the impact of our optimization efforts Work closely with marketing, design, and development teams to implement optimization strategies Provide data-driven recommendations to continuously improve conversion rates

Education Requirements:

• BA/BS

• Masters

• PhD or equivalent practical experience

Experience Requirements:

• 10+ years experience playing a key role in the successful development and launch of a deep tech product

• Experience building innovative technologies in cross-functional & cross-technology settings

• Both startup experience during various stages of the company’s growth (or lifecycle) while also having an understanding around the complexities and nuances of operating within a large corporation

• Comfort and experience with ambiguous, early-stage projects. Ability to create and grow ideas into viable businesses from the chaotic ground up

• Able to effectively communicate both technical and non-technical information to mixed audiences.

Responsibilities:

• Proposing, assessing, and synthesising new X moonshot investigations

• Develop and evolve project strategy, including offering definition / roadmap, team priorities, and go-to-market plans.

• Perform techno-economic analysis and feasibility analysis

• Craft moonshot proposals with technical experts

• Lead small technical teams composed of internal or external experts to further the state of the art and build proof of concepts

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform and MLOps platforms like Kubeflow.

Responsibilities:

• Build and scale robust AI/ML cloud infrastructure for training, validation, and inference

• Create a smooth, efficient MLOps flow for staging, deploying and monitoring AI pipelines

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field or equivalent applied research experience.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.).

• Expertise and hands on experience with generative AI approaches: SFT, RAG, DPO, RLHF, etc.

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

Responsibilities:

• Develop cutting edge generative AI approaches for challenging 3D data types

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience

Experience Requirements:

• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data

• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience

• 3 years of experience with Python, Golang, or other equivalent languages

Responsibilities:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid

• Explore and de-risk novel technologies to extract data from unlikely sources

• Lead the design and implementation of ML data platforms and service frameworks

• Design and implement robust, automated, production-level software using horizontally scalable components

• Work effectively with cross-functional teams of engineers, product managers, and domain experts

Benefits:

• Competitive salary

• equity

• benefits

Responsibilities:

• Develop key features for the Diagon Marketplace, focusing on both front-end and back-end development.

• Collaborate with cross-functional teams, including product, design, and operations, to deliver user-centric solutions.

• Optimize and integrate AI-powered tools to improve product listings and marketplace efficiency.

• Take ownership of technical decisions, balancing performance, usability, and long-term maintainability.

• Work across the stack, from interactive UI components (React/Next.js) to server-side logic (Server Actions, PostgreSQL, Prisma).

Education Requirements:

• Bachelor's degree in Supply Chain Management, Business Administration, Engineering, or related field.

Experience Requirements:

• Proven experience in capital equipment procurement within a manufacturing environment.

Responsibilities:

• Manage the procurement process from initial purchase requisition to delivery and installation.

• Identify, evaluate, and select suppliers for capital equipment purchases.

• Negotiate pricing, terms, & contracts to ensure cost-effectiveness & quality standards.

• Collaborate with all stakeholders to determine equipment specifications and requirements.

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

Other Requirements:

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

• Willingness to learn new technologies and tools, and apply them quickly

• Knowledge in Verilog-A and Spectre simulations

• Semiconductor process/fabrication knowledge

• Process simulation in TCAD tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate these devices in R&D and volume fabs

Benefits:

• Health insurance

• Career growth opportunities

• Access to training, events, and conferences

• Free coffee

• Arcade machines

Education Requirements:

• Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

• 5+ years in pre-sales, business development, or similar roles in tech.

• Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

• Strong knowledge of cloud contact centers and automation software.

• Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

• Native in Portuguese and fluent in English & Spanish.

Responsibilities:

• Define & optimize the pre-sales process for efficiency and accuracy.

• Understand client needs, identify potential challenges, and propose solutions.

• Collaborate with engineering teams to tailor products to customer requirements.

• Provide technical expertise and support in demonstrations of new products.

• Assist in proposal preparation, aligning solutions with client needs.