• Develop original visual concepts, design systems, campaign assets, prototypes, social ideas, motion explorations, presentation materials, and digital experiences using both traditional design tools and AI-powered creative workflows. • Use strong design craft, motion sensibility, and a sharp creative eye to create visual concepts across digital, social, video, campaign, and presentation work. • Leverage AI tools and design platforms, including Adobe Creative Suite (After Effects, Adobe Premiere Pro, Photoshop), Figma, Gemiini / Nanobana, Google Flow, Antigravity, and other emerging creative tools, to concept, design, animate, edit, prototype, and refine creative ideas. • Create AI-generated visuals, style frames, motion tests, mood boards, proof-of-concepts that help pressure-test ideas and creative concepts to support faster decision-making. • Develop multiple creative directions quickly, then refine selected routes with attention to craft, clarity, movement, and brand fit. • Support a high bar for visual quality, motion craft, creative experimentation, and brand consistency across campaigns and channels. • Adapt ideas for the strengths of each campaign platform, especially digital, social, video, and motion-led formats. • Collaborate with internal teams and external partners to develop, revise, and execute creative work. • Stay hands-on with emerging AI tools and creative platforms, bringing new techniques, workflows, and examples back to the team. • Use AI to improve the creative process, including ideation, visual development, storyboarding, motion exploration, editing, prototyping, versioning, and presentation development.

• Serve as the primary alliance manager for AI-enabled drug discovery collaborations and strategic external partnerships. • Build and maintain trusted relationships with pharmaceutical, biotechnology, and technology partners across scientific, operational, and executive levels. • Lead collaboration governance, including Joint Steering Committees (JSCs), scientific working groups, executive reviews, agendas, action tracking, and decision documentation. • Partner with Discovery Machine Learning, Computational Chemistry, Biology, Medicinal Chemistry, Software Engineering, Legal, Business Development, and other cross-functional teams to ensure alignment on collaboration objectives, milestones, and deliverables. • Develop and maintain integrated collaboration plans, including timelines, governance milestones, partner commitments, contractual obligations, budgets, and partnership metrics. • Coordinate cross-functional execution across multiple partnered programs by proactively identifying risks, tracking dependencies, facilitating issue resolution, and ensuring operational excellence. • Translate complex AI, machine learning, computational chemistry, and scientific concepts into clear, actionable updates for external collaborators while ensuring alignment between technical teams and partner objectives. • Partner with Legal and Business Development to support collaboration agreements, governance structures, data sharing, publications, and strategic partnership activities. • Prepare executive updates, partnership reports, and presentations while contributing to evaluation and launch of new strategic collaborations. • Help establish and continuously improve alliance management processes, governance standards, and best practices as Iambic's collaboration portfolio grows.

Role Description The Forward Deployed Engineer works alongside the team’s Forward Deployed Engineers and the broader AI and data group to help build, deploy, and support AI-powered solutions for Duracell business teams. This is a hands-on engineering role focused on learning the craft of getting solutions in front of users and improving them quickly. The person will spend time embedded with business teams, building and testing prototypes, fixing issues, and picking up the tools and patterns the team uses. This is a strong fit for someone early in the AI journey who is eager to learn, comfortable getting hands-on with code and data, and motivated to turn real business problems into working solutions with guidance from senior engineers. Qualifications - Strong interest in AI and data solutions. - Eagerness to learn and grow in a hands-on engineering role. - Comfortable working with code and data. - Ability to collaborate with business teams. Requirements - Experience in building and testing prototypes. - Problem-solving skills to fix issues quickly. - Willingness to learn tools and patterns used by the team. Benefits - Opportunity to work with a leading manufacturer in the battery industry. - Engagement in innovative AI-powered solutions. - Supportive environment for learning and growth. Company Description Duracell is the world’s leading manufacturer and marketer of high-performance alkaline batteries, complemented by a portfolio of high quality, market leading specialty, rechargeable and professional batteries. Duracell’s products power numerous critical professional devices across the globe such as heart rate monitors, defibrillators, telemetry devices, smoke detectors, fire alarms, automated valves and security systems. As the leader in the professional power category, Duracell has a rich history of innovation, continuously introducing batteries that are smaller, thinner, with more energy and longer lasting than competitive brands. Since March 2016, Duracell has found its permanent home within Berkshire Hathaway (ranked #4 World's Most Admired Companies by Fortune Magazine and #3 in the Fortune 500), and will continue to focus on sustainable growth, industry-leading innovation while creating long-term value for our customers and consumers. At Duracell, integrity, end-to-end accountability across all levels, fast decision-making and a “can do” attitude is highly valued.

Role Description Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager. Key Responsibilities - Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes. - Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks. - Plan training & certification for raters/annotators and coordinators; track completion and impact. - Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions. - Manage client escalations; present options, trade-offs, and recovery paths. - Standardize SOPs, templates, and checklists; remove bottlenecks. - Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins. - Coach P1s and C2–C3 on tools, workflows, and QA craft. - Ensure compliance/security across data handling and platform access. Qualifications - Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering. - 2+ years in quality/ops with hands-on QA and workforce/training coordination. - 1+ years leading people/pods (formal or informal). Requirements - Multi-project planning and stakeholder management. - Clear client communications and governance cadence participation. - Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus. - Capacity planning with vendors; confident escalation/negotiation. - Effective in global, distributed teams. Benefits - Near-native English with strong writing and editorial skills. - Hands-on with generative AI tools (text/voice/video). - Background in QA testing, rubric design, or AI safety/ethics evaluation. - Familiarity with data-annotation platforms and model-evaluation tools. - Ability to interpret code/datasets/workflows at a conceptual level (no coding required). - Works independently and manages workflows effectively in a remote setup. - Multilingual ability beyond English. Scope & Autonomy Leads quality, training, and performance tracks across several projects; independent within guardrails. Shared accountability for client results and team performance with Ops Manager.