Title: Commercial Co-founder, Grid flexibility and virtual power plants Location: Berlin BE DE Job Description: Join us to build a venture that makes grid flexibility and virtual power plants (VPPs) operate at scale, unlocking the full value of distributed renewable energy for the grid, for markets and for the planet. We are seeking applications from experienced industry or startup professionals, ideally with deep commercial domain expertise in energy markets, grid flexibility or VPP operations, and a keen interest in founding and scaling an impact-driven, high-growth company from the ground up. The Opportunity Deep Science Ventures is building a new climate tech venture to solve the coordination bottleneck that prevents virtual power plants from scaling across markets, asset types and time-horizons. Virtual power plants aggregate distributed energy resources (batteries, solar, EVs, heat pumps, flexible loads) and coordinate them to participate in energy markets and provide grid services. Today, the industry relies on optimisation methods (MPC, rule-based dispatch) that: - Break down at scale (~500+ DERs) due to combinatorial computational growth; - Rely on imperfect forecasts over short time-horizons and must be resolved daily; - Require centralised pooling of sensitive operational data from every resource; - Leave significant revenue on the table through poor cross-device and cross-market coordination. We are building a fundamentally new approach to VPP coordination using multi-agent reinforcement learning, operated over a distributed network of grid-aware compute nodes. Each device in the fleet learns its own optimal dispatch strategy while sharing coordination knowledge across the portfolio to deliver better economics, faster onboarding and privacy-preserving operation at scales that current methods cannot reach. Near-instant model inference allows operators to extract far more information from their operational data, allowing them to model increasingly complex "what if" scenarios and adapt to increasingly volatile grid conditions. The technology is validated through PhD research and outperforms industry-standard MILP/MPC optimization in simulation. The opportunity is global: rapid DER growth across the US, UK, and Europe is creating wholesale, balancing, ancillary service, and flexibility markets with layered revenue opportunities for coordinated dispatch. Every major market faces the same scaling bottleneck. We are now seeking a Commercial Co-Founder to partner with our technical founder and take this venture from formation through Series A and beyond. This is a ground-floor opportunity to build a company at the centre of the energy transition, creating the software and compute infrastructure that will underpin how distributed energy participates in markets as the grid decentralises. The Role As Commercial Co-Founder, you will own the venture's commercial strategy and execution from day one. Working hand-in-hand with the technical founder, you will: - Validate market demand and define target customer segments across VPP operators, aggregators and flexibility providers; - Build early customer, supplier and strategic partnerships with operators scaling their DER portfolios; - Secure commercial proof points (LOIs, MOUs, pilot agreements) with VPP operators facing scaling or onboarding challenges; - Lead fundraising from pre-seed through Series A, targeting climate tech and energy-focused investors; - Shape pricing, go-to-market strategy, and long-term commercial positioning across SaaS, performance-based and professional services revenue streams; - Navigate energy market regulation and grid code compliance in target geographies (US ISO/RTO markets, UK Ofgem/G99, European ACER frameworks or similar); This is a deeply hands-on role. You will personally develop customer relationships, negotiate early agreements and help build financial and techno-economic models. As the company grows, you will recruit and lead the commercial function. Location: Hybrid (US, UK, or Europe) Commitment: Part-time initially → Full-time post venture incorporation and spin-out (target Q3 2026) Equity: Meaningful founder equity + competitive salary post-incorporation Requirements Must-Have Experience: - Previous experience in either a startup/early-stage company environment or leading commercial scale-up in energy, grid, and/or flexibility markets; - A track record in fundraising from VC, grant writing, grant management and building commercial partnerships; - Exposure to energy market regulation and grid code compliance processes in at least one major market (US ISO/RTO, UK, or European); - A strong network across relevant industries such as VPP operators, aggregators, energy traders, utilities, DNOs/DSOs, ISO/RTOs or DER equipment manufacturers. Essential Capabilities: - Lead customer discovery to identify and prioritise target markets. From initial outreach with target customers through to binding pilot agreements, you will refine and deliver upon value propositions based on market feedback; - Identify and secure strategic partnerships with VPP operators, flexibility providers, utilities, DNOs/DSOs, and DER equipment vendors (battery manufacturers, EV charger companies, heat pump installers); - Co-develop and maintain techno-economic models, pricing strategy and financial models with the founding team, and lead commercial negotiations and contract structuring; - Lead fundraising efforts with commercial due diligence materials, building investor relationships and communicating commercial progress; - Demonstrated B2B sales and business development experience, ideally in energy, grid services or flexibility markets, with a track record from cold outreach to signed agreements; - Willingness to operate across strategic and administrative tasks, with resilience, strong self-direction and ability to thrive in uncertain environments; - Excellent communication skills with the ability to build credibility across diverse stakeholders (VPP operators, utilities, grid operators, energy traders, investors) and work collaboratively with a technical co-founder; - Ability to recruit and lead team members as the company grows, with a desire to build and scale an organisation aligned with company mission and values. Valuable "Nice-to-Haves": - Experience managing customer pilot programmes, developing go-to-market strategy and assessing partnership structures including licensing, white-label and joint development; - Ability to scope and manage regulatory pathways across multiple energy markets, coordinate with consultants and certification bodies, and substantiate performance claims with quantitative evidence; - Understanding of VPP operations, DER aggregation, wholesale electricity market structures (day-ahead, real-time/balancing, ancillary services, capacity) or flexibility procurement; - Experience at a VPP operator, aggregator or flexibility provider (e.g., Voltus, CPower, Flexitricity, Limejump, Statkraft, Kraken, Next Kraftwerke or similar); - Multi-market experience - understanding of how different market designs (US nodal/LMP, UK balancing mechanism, European zonal) create distinct optimisation opportunities; - Background in energy trading, portfolio optimisation or demand-side response. Benefits Joining a world-class team This venture is built within Deep Science Ventures. Deep Science Ventures is a leading deep-tech venture studio with a portfolio of 50+ science-led companies at a total valuation of ~$700m. You will have the support of a team who have founded companies and led translation of science at some of the most respected universities, charities, funds and government agencies in the world. The team is offering: - A majority equity stake in the new company between you and your co-founder, once the company is incorporated (target Q3 2026); - Access to proprietary venture-building tools and processes that are proven to create high-impact companies from scratch; - Access to a global network of investors, advisors and industrial partners across climate tech and energy; - Continuous post-spinout support including fundraising, commercial partnerships, recruitment and team-building.

• Own the end-to-end landing page production process, from strategy and planning to deployment and optimization. • Develop high-converting comparison pages, advertorials, listicles, and product landing pages for paid acquisition campaigns. • Define customer awareness levels, messaging angles, hooks, and conversion strategies for different audience segments. • Use AI tools such as Manus, Claude, and proprietary systems to generate, refine, and scale landing page production. • Collaborate closely with media buyers to align landing page strategy with campaign objectives and traffic sources. • Create and test multiple landing page variants across different brands and product categories. • Analyze landing page performance data and identify opportunities to improve conversion rates. • Conduct competitor, customer, and market research to uncover winning messaging, objections, and emotional triggers. • Develop and maintain swipe files, copy frameworks, and landing page best practices. • Perform quality assurance reviews to ensure accuracy, persuasion, user experience, and mobile responsiveness. • Build and document SOPs for landing page creation, optimization, and AI-assisted workflows. • Stay current with direct-response marketing trends, conversion rate optimization techniques, and emerging AI tools.

Role Description Artlist is looking for a Creative Solutions Lead to help drive strategic partnerships across Hollywood, media, and entertainment. Working closely with leadership, this role will create compelling demonstrations, showcase productions, presentations, and proof-of-concepts that help studios, production companies, and creative partners understand the future of AI-powered filmmaking. Responsibilities - Create high-impact AI product demonstrations and showcase projects. - Support studio partnerships with presentations, custom demos, and strategic materials. - Provide ongoing creative and technical support for strategic studio partnerships, helping transform initial demonstrations into successful long-term collaborations. - Produce short films, concept trailers, commercials, and experimental content. - Translate product capabilities into compelling creative stories and business opportunities. - Represent Artlist at industry events, festivals, screenings, and executive meetings. - Support flagship initiatives and future showcase productions. Qualifications - Strong background in filmmaking, creative technology, content production, or media innovation. - Excellent presentation and public speaking skills. - Comfortable presenting to executives, partners, creators, and large audiences. - Strong storytelling and visual communication abilities. - Experience with AI creative tools and emerging production workflows. - Highly organized, proactive, and able to move quickly from idea to execution. Ideal Candidate A creative technologist and storyteller who can build a compelling demo, present it confidently on stage, and help turn industry conversations into strategic partnerships.

Title: Senior Applied AI Engineer Location: Worldwide (Remote/Hybrid) Reports to: Staff Applied AI Engineer Senior Applied AI Engineer About CINC Systems CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry’s first SaaS offering, CINC Systems now employs nearly 400 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development. At CINC, innovation drives our growth, and our people sustain it. We are proud of our humble, accountable, and team-oriented culture, and we are committed to building products and a workplace that create long term value for our customers and our team. About the Role The Senior Applied AI Engineer is a hands-on software engineer specializing in the practical application of AI within production systems. This role sits at the intersection of software engineering, system design, and applied machine learning, with a focus on building AI-enabled features that are observable, testable, and safe. This is not a research role. It is a product- and systems-oriented role for an engineer who understands that AI is an amplifier of engineering fundamentals and who can balance experimentation with operational discipline. Key Responsibilities - Design, build, and operate AI-enabled features within production SaaS applications - Integrate large language models and other ML capabilities into existing systems with attention to reliability, latency, and cost - Design AI workflows including retrieval, orchestration, evaluation, and fallback strategies - Partner with product and design teams to translate user needs into intelligent system behavior - Collaborate with platform and DevSecOps teams to ensure AI systems are secure, observable, and scalable - Build evaluation strategies to measure quality, regressions, and business impact of AI features - Contribute to system and service design to ensure AI capabilities fit cleanly into overall architecture - Apply strong software engineering practices including testing, code review, and incremental delivery - Mentor other engineers and share best practices for applied AI development - Stay current with evolving AI tools and techniques, applying them pragmatically where they add value Qualifications Technical Expertise - 8+ years of professional software engineering experience - Hands-on experience building and shipping AI-enabled features in production - Strong foundation in system design, APIs, and distributed systems - Experience working with LLMs and other ML models - Familiarity with evaluation, monitoring, and observability of AI workflows - Experience with cloud-native architectures and managed cloud services - Comfort working across backend services, data pipelines, and user-facing systems Collaboration and Judgment - Strong communication skills, able to explain AI trade-offs clearly - Structured thinker with good engineering judgment - Comfortable operating in ambiguity and iterating based on feedback - Ability to work cross-functionally with product, platform, and data teams - Bias toward shipping value safely and incrementally Mindset and Values - Builder mindset with pride in reliable, maintainable software - Believes AI amplifies both good and bad engineering practices - Customer-focused, measuring success through real-world impact - Learning-first attitude and intellectual humility - Calm under pressure and disciplined in execution - Values teamwork and shared ownership What Success Looks Like - AI-enabled features deliver measurable customer and business value - AI systems are reliable, observable, and cost-effective - Engineering teams can safely build on shared AI patterns and infrastructure - AI experimentation leads to production outcomes, not dead ends - The Senior Applied AI Engineer is trusted as a practical expert and partner across teams