Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401k plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• PhD in Computer Science, Mathematics, Statistics, Linguistics or other quantitative field.

Experience Requirements:

• Publications at leading AI conferences, journals or workshops, such as NeurIPS, ICML, EMNLP, ACL, AAAI.

• Experience conducting empirical NLP research in an academic or industry research lab.

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP and search architectures.

• Experience training language models in applied or research settings.

• Experience working and communicating cross functionally in a team environment.

Other Requirements:

• Have good character, integrity and respect for others.

Responsibilities:

• Lead a team of Research and ML engineers to conduct research experiments and translate findings to applied AI features in the product.

• Solve challenging, open ended problems in AI evaluation research.

• Work closely with the CTO to set and drive research vision for the company.

• Scope and drive research projects, including experiment design, timelines for research deliverables, results analysis.

• Synthesize literature on AI evaluation and LLM development.

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401k plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field; PhD preferred

Experience Requirements:

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP.

• Familiarity with transformer-based architectures, attention mechanisms, evaluation metrics and benchmarks

• Experience training language models in applied or research settings.

• Deep familiarity with pytorch and ML tooling such as job schedulers, the Hugging Face transformers library, and Weights & Biases.

• Experience conducting AI research in an academic or industry research lab.

Other Requirements:

• Have good character, integrity and respect for others!

Responsibilities:

• Develop state-of-the-art systems for AI evaluation.

• Train language models for novel use cases, such as evaluating whether content is engaging, hallucinatory, age appropriate, or contains PII.

• Evaluate whether language models are aligned with human preferences.

• Collect high quality, novel datasets for classification and generative tasks, through synthetic data augmentation techniques and publicly available datasets.

• Conduct novel research on red teaming language models.

Benefits:

• A competitive salary + stock options in our fast-growing Series D startup

• Hybrid working environment

• 100% Medical, Dental & Vision

• 401k Plan

• Paid parental leave 25 days of annual leave + Public holidays + paid sick leave Fun culture with regular socials A generous referral scheme A brand new computer + monitor

Responsibilities:

• Build and nurture strong relationships with key stakeholders to drive retention and growth

• Conduct discovery with customers to understand business objectives and uncover new use cases

• Establish and maintain a trusted advisor relationship with customers, ensuring that customers are realizing value out of their investment in Synthesia

• Act as a subject matter expert for the practical application of Synthesia within enterprises and take a consultative approach in implementing video content into their workflows.

• Monitor utilization and deploy strategies to increase user engagement, adoption and satisfaction Lead Quarterly Business Reviews with senior stakeholders in attendance that deliver clear outcomes Ensure ROI and value is communicated and understood by the customer Proactively monitor customer health, including potential risks to renewals and expansion opportunities Own commercial conversations and all aspects of the renewal process Collaborate with internal teams to ensure seamless onboarding, support, and resolution of customer issues

Experience Requirements:

• Knowledge of HubSpot/SFDC.

• 3-5 years of marketing experience, preferably in B2B marketing including specific experience with multi-touch campaigns, ABM campaign, events, demand generation, and multi-channel.

Responsibilities:

• Develop integrated field and ABM programs, mapping audience-centric themes to target audiences throughout the buying cycle to achieve pipeline creation and revenue goals for specific customer segments.

• Work closely with our sales and customer success team and forge strong communication and processes between teams.

• Execute regional field marketing campaigns including, but not limited to trade shows, owned events, user conferences, webinars, and other lead generation activities.

• Plan and execute an ABM marketing strategy with other marketing team members working cross functionally.

• Continuously measure, manage and appropriately adjust campaign effectiveness: lead generation performance; lead conversion ratios; sales cycle conversions. Expand and adapt that strategy based on learnings and analysis of sales and marketing data—both internally collected and available industry standards. Travel between events you will be organizing and possible to travel to our London office. It's essential that you're open and willing to travel as and when required.

Benefits:

• You will be compensated well with a competitive base salary + stock options.

• You get 25 days of annual leave

• You will join an established company culture with regular socials and company retreats.

• You can participate in a generous referral scheme.

• Huge opportunity for a career defining role as we go from a series D scale-up with strong PMF to the next phase of growth.

Experience Requirements:

• 6+ years of post-qualification experience working on different kinds of commercial transactions (e.g., strategic alliance, SaaS, IP licensing, software licensing, product resale, and distribution, working with contractors, outsourcing, facilities, etc.), including with large enterprise companies, companies in regulated industries (e.g., financial services, healthcare, etc.), government, and edu companies.

• Experience working in an in-house legal department, ideally in the tech sector.

Responsibilities:

• Drafting, reviewing, and negotiating a variety of commercial agreements to support sales, partnerships, and our purchase of software and services from vendors. Your primary focus will be on our service agreements, software licenses, data processing agreements, and NDAs. We’ll ask you to draw from the experience you’ve gained from supporting hundreds or thousands of commercial transactions to help define business terms and structure deals in an optimal way.

• Advising on a variety of areas ranging from intellectual property, data privacy, data security, software licensing agreements, and go-to-market strategy.

• Providing input on processes, policies, and playbooks to help scale the organization and make our team more effective and efficient.

• Providing effective advice by staying up-to-date on relevant industry, commercial, open source, IP, privacy, employment, and other laws, regulations, and developments.

• Developing the company’s knowledge in areas of special interest, including intellectual property, data protection, financial services, healthcare, and other regulatory matters. Operating independently and providing practical, decisive guidance to our business teams that balances business objectives with legal risk, taking into account our company policies and negotiation positions.

Benefits:

• A competitive salary + stock options in our fast-growing Series D startup

• Hybrid working environment or remote-friendly

• 100% Medical, Dental & Vision

• 401k Plan

• Paid parental leave 25 days of annual leave + Public holidays + paid sick leave Fun culture with regular socials A generous referral scheme A brand new computer + monitor

Experience Requirements:

• You’ve worked in B2B SaaS: you know the ins and outs of B2B SaaS and have seen how messaging evolves as companies scale.

Responsibilities:

• Develop and own the brand’s voice: create and maintain a consistent tone of voice across all channels, from marketing campaigns to internal communications.

• Write website copy and sales materials: write clear landing pages, one-pagers, pitch decks, and other sales collateral that communicate our value simply and effectively.

• Write scripts for videos: create scripts that explain complex ideas in simple terms while keeping audiences engaged.

• Mentor the team: help others align with the brand’s voice and improve their writing to ensure consistency across the company.

Experience Requirements:

• Senior

Education Requirements:

• BA/BS degree or equivalent experience.

Experience Requirements:

• A minimum of 5 years in customer-facing roles in SaaS, with at least 3 years of experience in technical consulting, technical account management, or solutions engineering.

• Ideally, you have experience with AI/Machine Learning/NLP technologies and are familiar with Helpdesks and CRMS like Zendesk, Salesforce, Kustomer, and others.

Responsibilities:

• Technical Product Enablement: Provide technical guidance to customers on our AI solutions, including demonstrating capabilities, advising on best practices, and helping customers integrate and maximize value.

• Solution Delivery & Scoping: Lead scoping sessions with customers to collect business requirements and work cross-functionally to ensure the delivery of the right technical solutions.

• Collaborative Leadership: Collaborate closely with internal teams (Sales, Implementation, Engineering, Product) to ensure smooth execution of customer solutions, from pre-sales to deployment.

• Thought Leadership: Become a trusted advisor, sharing knowledge and best practices to promote AI adoption and usage.

• Customer Advocate: Champion customer needs within Forethought, ensuring that customer feedback directly influences our product and service strategies.

Benefits:

• Share Option!

• Flexible working!

• Annual Leave!

• Annual off-site

• Purpose driven!

Experience Requirements:

• 5+ years of experience in sales, business development, or growth roles, ideally in SaaS, AI, or technology-driven sectors, with a track record of exceeding revenue targets.

Responsibilities:

• Source, drive and build a robust sales pipeline through proactive prospecting, outreach, and networking in new markets, targeting key accounts and high-value leads.

• Establish and nurture strategic partnerships with potential clients, channel partners, and industry influencers to accelerate business growth and market penetration.

• Lead the charge in identifying new market opportunities and ideal customer accounts, craft go-to-market strategies and execute plans to expand our presence across the U.S.

• Lead and manage the full sales cycle from lead generation to closing, ensuring consistent progress, forecasting, and achieving monthly/quarterly revenue targets.

• Work with Customer Success Lead to cultivate long-term relationships with clients, ensuring satisfaction, repeat business, and continuous value creation through consultative selling and tailored solutions.

Education Requirements:

• Bachelor’s degree in Graphic Design or related field.

Experience Requirements:

• Minimum of three years of graphic design experience, with a preference for those who have worked in an agency or fashion environment.

• Demonstrable proficiency in multi-channel design, including but not limited to email campaigns, paid advertising, and social media content.

Responsibilities:

• Develop visually compelling, contemporary designs for a range of channels, ensuring adherence to brand consistency while maintaining each brand’s unique identity.

• Collaborate with interdisciplinary teams to comprehend project requirements and produce innovative design solutions.

• Efficiently manage and prioritize concurrent projects, ensuring deadlines are met without compromising on the quality of output.

Experience Requirements:

• 1+ years

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Benefits:

• medical

• dental

• paid parental leave

• professional development

• fully stocked kitchen

Benefits:

• Weekends Off

• Provident Fund

Experience Requirements:

• 1-2 Yrs Exp

Experience Requirements:

• 5+ years of hands-on experience building web applications, with at least 3 years focused on React, NodeJS and modern JavaScript (ES6+).

Responsibilities:

• Design, develop, and maintain a modern, scalable web application using React, ensuring a seamless and delightful user experience.

• Collaborate closely with product managers, designers, and backend engineers to translate complex requirements into elegant, functional UI solutions.

• Optimize front-end performance, accessibility, and cross-browser compatibility to deliver a best-in-class product.

• Take ownership of the UI architecture, driving innovation and implementing reusable, modular components.

Experience Requirements:

• 5+ years in a sales engineering, solutions engineering, or technical pre-sales role, ideally supporting enterprise SaaS or AI/ML products.

Responsibilities:

• Collaborate with the sales team to identify customer needs and craft customized demonstrations, proofs-of-concept (POCs), and technical proposals for our AI Agent product.

• Act as the technical liaison between Genesis Computing and enterprise clients, delivering compelling presentations and addressing technical questions with confidence.

• Design and articulate solution architectures that integrate our AI Agent into clients’ existing systems, ensuring seamless deployment and maximum value.

• Provide pre-sales support, including scoping requirements, managing RFPs, and conducting hands-on workshops or training sessions.

• Gather client feedback to inform product roadmap discussions with engineering and product teams.

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work