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Senior Software Engineer (Gen AI Focused)
AI tax assistant for tax professionals and businesses. Research taxes, get answers, draft memos, analyze data, and boost accountants' productivity.
Benefits:
Cutting-edge tech
Career growth
Great culture
Hybrid model
Medical & 401(k) benefits
Education Requirements:
Bachelor’s in Computer Science or equivalent.
Experience Requirements:
Minimum of six years of experience developing scalable applications, with demonstrated success in high-impact roles.
Other Requirements:
Self-starter who thrives in ambiguity and can envision successful outcomes.
Clear communicator capable of expressing complex ideas and executing them effectively.
Enjoys tackling real-world problems and navigating uncharted technical areas.
Strong sense of ownership, able to lead and guide teams to reach impactful solutions.
Leading an AI or LLM-related project will be a huge plus.
Experience with fintech, tax, and accounting software is excellent to have.
Former technical founders are welcome to apply.
H1B visa transfer is available.
Responsibilities:
End-to-End System Design
API and Microservices Architecture
Database Management and Security
Cross-Functional Collaboration
Technical Problem Solving: Analyze complex technical problems and provide solutions that optimize for both performance and scalability. Contribute to architectural decision-making and system design for the broader engineering team.
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Growth Hacker
AI tax assistant for tax professionals and businesses. Research taxes, get answers, draft memos, analyze data, and boost accountants' productivity.
Experience Requirements:
Proven experience in growth hacking, with a strong focus on paid advertising (e.g., Google Ads, Facebook Ads) and outbound marketing.
Other Requirements:
Expertise in data analysis and performance metrics, with the ability to turn insights into actionable strategies.
Hands-on experience with A/B testing, campaign optimization, and conversion rate improvement.
Strong knowledge of marketing automation tools and CRM platforms (e.g., HubSpot).
Responsibilities:
Develop and Execute Growth Strategies
Manage Paid Advertising Campaigns
Implement Outbound Marketing Initiatives
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UI/UX Designer
AI tax assistant for tax professionals and businesses. Research taxes, get answers, draft memos, analyze data, and boost accountants' productivity.
Experience Requirements:
3+ years of experience in UI/UX design, with hands-on experience across web and mobile.
Other Requirements:
Ability to transform complex workflows into intuitive user interfaces.
Strong presentation and communication skills, with a focus on empathizing with users to deliver impactful designs.
Experience working closely with engineering teams to bring designs to life with precision.
Responsibilities:
Lead design initiatives across a broad spectrum of product features, from concept through to launch, in close collaboration with product managers, engineers, and stakeholders.
Create pixel-perfect, user-centered designs for web and mobile that balance functionality with aesthetic appeal.
Conduct and implement UX processes such as user interviews, journey mapping, prototyping, and feedback loops.
Develop and iterate on design solutions based on user feedback and data-driven insights to optimize the user experience.
Collaborate regularly with team members in design reviews, working together to refine and enhance our design language and product quality.
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Member of Technical Staff - Vision-Language Model Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data.
Watch out for the release of public high quality VLM datasets.
Create and maintain synthetic data augmentation pipeline to enhance VLM data quality.
Work with the multimodal vision team to run ablations on new dataset.
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Member of Technical Staff - Machine Learning Engineer, Training Infrastructure
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal models
Build robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasets
Develop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scales
Optimize communication patterns between nodes to minimize the overhead of distributed training for long-running experiments
Collaborate with ML engineers to implement new model architectures and training algorithms at scale
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Member of Technical Staff - Foundational Model Data
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data.
Watch out for the release of public dataset on huggingface and other platforms.
Create crawlers to gather datasets from the web where public data is lacking.
Write and maintain synthetic data generation pipelines.
Run ablations to assess new dataset and judging pipelines.
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Member of Technical Staff - Applied Machine Learning Lead
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Own end-to-end customer relationships from technical discovery through implementation and success validation
Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team
Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria
Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early
Serve as the escalation point for complex technical challenges encountered during implementations
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Technical Product Marketing Manager
Liquid AI is a foundation model company building general-purpose AI systems, including Liquid Engine and Liquid Foundation Models (LFMs).
Responsibilities:
Map and define sophisticated enterprise buyer personas across verticals, with specific focus on how different industries evaluate and adopt ML technology
Track emerging ML model architectures & capabilities to identify strategic market opportunities and inform product positioning
Transform complex ML infrastructure concepts into compelling, vertical-specific value propositions that resonate with both technical and business stakeholders
Create technical content and sales enablement materials that demonstrate our unique approach to enterprise ML deployment
Drive end-to-end launch strategy for new ML capabilities, ensuring GTM teams can effectively position our technical differentiation within each target vertical
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Business Development Representative
Patronus AI is an AI evaluation and optimization platform that helps teams ship top-tier AI products using industry-leading AI research and tools.
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
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AI Trainer Telerobotics Operator (Freelance)
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Benefits:
Medical
Dental
Vision
Professional development
Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.
Responsibilities:
Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.
Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.
Operate teleoperation equipment as needed to guide the robot through specific behaviors.
Follow proper equipment and robot maintenance procedures, including setup and operation.
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Associate Partner, Frontier AI
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Experience Requirements:
2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.
Experience managing a consultative sales cycle with executives at Fortune 50 companies.
Responsibilities:
Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.
Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.
Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.
Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.
Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.
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Business Development, Frontier AI
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Experience Requirements:
1-2 years of sales experience
Responsibilities:
Manage your own sales and meetings pipelines in a specified territory
Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)
Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)
Qualify prospects/accounts through email, phone, Linkedin, etc
Manage prospects, accounts, and opportunities in Salesforce
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Data Operations Engineer
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Education Requirements:
Bachelor’s Degree in Engineering, Computer Science, or a technical field.
Experience Requirements:
3+ years of working experience in a technical role interfacing with technical and non-technical folks.
Responsibilities:
Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.
Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.
Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.
Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.
Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.
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Founding Software Engineer
AI agent that watches thousands of session replays to discover customer issues, understand feature usage, and answer questions.
Experience Requirements:
1+ years
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Senior AI Solutions Consultant (post-sale)
Copy.ai is a GTM AI platform designed to infuse AI across your go-to-market engine with a single platform. It helps codify best practices, unify data, connect teams, and eliminate GTM bloat.
Benefits:
Competitive salary and stock option equity packages
Excellent Medical Plans
Dental and Vision insurance
UNLIMITED PTO
401k plan and automatic 3% employer contribution starting your 1st day.
Experience Requirements:
5+ years of experience in a solutions consultant, sales engineering, or a similar customer-facing role in a SaaS or technology organization
2+ years of AI consulting/solutions experience
Responsibilities:
Partner closely with the sales team to onboard and train new enterprise customers, ensuring a smooth transition and positive initial experience with Copy.ai .
Discover and develop new use cases for clients that will add value, foster greater adoption of our platform, and ultimately, grow accounts.
Actively engage with existing customers for introductions to other groups within their organizations, and effectively pitch the capabilities of Copy.ai for those other groups.
Utilize your technical expertise and creativity to develop customized solutions to help customers overcome challenges and maximize the use of our platform.
Maintain strong client relationships through proactive communication, issue resolution, and seeking feedback for further improvement.
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Staff Software Engineer
Copy.ai is a GTM AI platform designed to infuse AI across your go-to-market engine with a single platform. It helps codify best practices, unify data, connect teams, and eliminate GTM bloat.
Benefits:
Competitive salary and stock option equity packages
Excellent Medical Plans
Dental and Vision insurance
UNLIMITED PTO
401k plan and automatic 3% employer contribution starting your 1st day.
Experience Requirements:
10+ years of both backend and frontend software engineering experience
Prior experience as a Staff or Principal Engineer or similar role
Experience with SaaS, marketing tools, creator tools, and/or machine learning products is a plus
Experience with the entire product development lifecycle, including early-stage
Proficiency in ReactJS/NextJS/Typescript/NodeJS
Responsibilities:
Contribute to all stages of the software development lifecycle.
Utilize and contribute to our continuous integration and continuous delivery pipelines.
Write well-designed, testable, and efficient code with quick turnaround times and ownership/accountability
Create and maintain processes, policies, documents, and the implementation of underlying systems and technologies for application sustainment, security, and privacy
Establish and support patterns and architectures for our front-end, backend, future applications, and our multi-and-single-tenant instances across cloud providers/platforms
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VP of Product
Copy.ai is a GTM AI platform designed to infuse AI across your go-to-market engine with a single platform. It helps codify best practices, unify data, connect teams, and eliminate GTM bloat.
Experience Requirements:
12+ years of Product Management experience
5+ years directly leading a Product Team at a rapidly-growing startup
proven track record of delivering a unified product vision
experience attracting, developing, mentoring and retaining a high-performing, world-class Product Team
Competence in technology disciplines, opportunities, and constraints to bridge both the business and technical aspects of satisfying the customer need
Responsibilities:
Influence and shape Copy.ai's long-term product vision, strategy, goals, and metrics
Redefine and redesign the product function
Enable effective execution.
Build alignment across product teams and cross-functional leaders through clear communication and strategic influence
Lead, coach, motivate, and mentor our highly-capable and growing team of Product Managers and Product Designers
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Senior AI Sales Engineer (pre-sale)
Copy.ai is a GTM AI platform designed to infuse AI across your go-to-market engine with a single platform. It helps codify best practices, unify data, connect teams, and eliminate GTM bloat.
Benefits:
Competitive salary and stock option equity packages
Excellent Medical Plans
Dental and Vision insurance
UNLIMITED PTO
401k plan and automatic 3% employer contribution starting your 1st day.
Experience Requirements:
5+ years of experience in sales engineering or similar customer-facing roles in SaaS or technology
2+ years of AI sales engineering expertise
Responsibilities:
Become a trusted partner to our clients, including Fortune 500 companies like ThermoFisher, Lenovo, Gartner, and Stanley Black & Decker
Collaborate with GTM teams to unleash the revenue engines of the world’s premier companies
Develop use cases, create compelling business cases, and drive platform adoption
Leverage your technical chops to craft solutions that overcome customer challenges
Maintain strong client relationships through proactive communication and deep empathy
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Staff Solution Engineer
People.ai is an AI-powered platform that helps businesses accelerate growth, revenue, and innovation by automating sales processes and providing data-driven insights. It leverages AI to improve sales forecasting and overall GTM strategy.
Responsibilities:
Support sales in exceeding quotas through enterprise solution selling.
Co-sell on strategic opportunities, attend customer meetings, and establish trusted advisor relationships with customers.
Ramp up as a trusted customer-facing resource within the first few months, confidently engaging in C-level enterprise conversations.
Win multiple high-value opportunities within the first year by effectively demonstrating the value of People.ai’s solutions and addressing technical pre-sales inquiries.
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Staff Backend Software Engineer
Mem is an AI notes app that helps you capture, find, and use your notes effectively. It uses AI to connect related information and provide insights when you need them most.
Benefits:
Competitive salary and equity
Work remotely, no commuting to the office
21 days paid vacation
Company-sponsored team retreats, events, and meals
Comprehensive health benefits, including medical, dental, vision, mental health, and monthly wellness stipend. M1 Macbook Pro, 4K display, accessories, and a monthly AI stipend to explore new tools Comprehensive family benefits, including 16 weeks paid family leave and support for IVF, egg freezing, adoption, and childcare
Experience Requirements:
Have experience leading the architecture of projects, services, and teams.
Have experience managing, deploying, and scaling infra in large-scale environments.
Are a self-starter with the ability to work independently and solve complex problems. Prior founder or startup experience is a plus.
Are open-minded to using state-of-the-art tools.
Are well-versed in systems thinking.
Responsibilities:
Report directly to our CEO and work closely with our Founding Engineer, Lead UX Designer, and CEO to architect and build backend systems that integrate state-of-the-art artificial intelligence to enable intelligence in our product.
Lead architecture and implementation of our core infrastructure and sync systems.
Build the backend for user-facing features that enable integrated, context-aware, and proactive personal knowledge assistance.
Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.
Improve observability, monitoring, and alerting so that we can most effectively respond to operational incidents.
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