Zapdeck ist eine KI Plattform für die konsistente und korrekte Erstellung von Slides in Unternehmen. Wir helfen Teams, beim Erstellen von Präsentationen erheblich Zeit zu sparen und die Marke immer perfekt zu transportieren. Aktuell arbeiten wir bereits mit führenden Unternehmen mit tausenden Mitarbeitenden zusammen. Unser Ziel ist es, eines der erfolgreichsten KI-Startups in Deutschland zu werden. Wir suchen einen Freelance Growth & Outbound Lead, der mit uns in einer entscheidenden Wachstumsphase den Outbound-Kanal aufbaut und skaliert. Du übernimmst Verantwortung für unseren gesamten Outbound-Funnel: von der Pipeline-Generierung über erste Discovery-Calls bis zur Übergabe qualifizierter Demos an den Gründer. Wir bieten dir ein faires Grundretainer plus einen attraktiven erfolgsbasierten Bonus auf qualifizierte Meetings und Closings. Du arbeitest direkt mit unserem Co-Founder Frederik (ex BCG) zusammen und gestaltest unsere Go-to-Market-Strategie aktiv mit. Im Kern von Zapdeck steht eine innovative KI, die komplette Präsentationen in individuellem Unternehmensdesign erstellt. Nutzer arbeiten in einer intuitiven Oberfläche, die strukturierte Bearbeitung, visuelles Slide-Design und KI-gestützte Workflows kombiniert. Aufgaben - Outbound-Pipeline verantworten: Aufbau, Durchführung und laufende Optimierung von Multi-Channel-Outbound-Kampagnen (LinkedIn, E-Mail, Events) zur Generierung qualifizierter Meetings mit unserem ICP - Qualifizierungs-Calls führen: 15-minütige Discovery-Calls, um ICP-Fit zu prüfen, Pain Points zu verstehen und qualifizierte Demo-Termine mit dem Gründer zu vereinbaren - ICP und Messaging schärfen: Enge Zusammenarbeit mit dem Gründer bei der Verfeinerung unseres idealen Kundenprofils, der Value Propositions und Outbound-Sequenzen auf Basis echten Marktfeedbacks - Neue Kanäle erschließen: Besuch relevanter B2B-Events im DACH-Raum, Unterstützung beim Aufbau einer konsistenten LinkedIn-Präsenz und des AI Workflows Podcasts mit Inbound-Wirkung - Zahlen im Griff haben: Tracking von Meetings, SQLs, Pipeline-Wert und Conversion Rates; plus datengetriebene Hypothesen, wie sich diese verbessern lassen Qualifikation Fachlich - Unternehmerisches Mindset mit klarer Ownership, Resilienz und Hunter-Mentalität: du fühlst dich im Early-Stage-Umfeld wohl, in dem du das Playbook mitgestaltest statt es nur auszuführen - 3–5 Jahre Erfahrung im B2B-SaaS-Outbound, idealerweise in einem DACH-SaaS-Scale-up, mit nachweisbarem Track Record im Aufbau qualifizierter Pipeline von Grund auf - Sicherer Umgang mit modernen KI und Outbound-Tools (LinkedIn Sales Navigator, Pipedrive, Apollo, Lemlist, Instantly, etc.) - Exzellente schriftliche Kommunikation auf Deutsch: unsere Zielkunden sind DACH-Unternehmen - Plus: Erfahrung im Enterprise-Sales (Heads of Sales, Marketing, Kommunikation, Strategie) oder in einem AI-/SaaS-Unternehmen mit horizontalem Anwendungsfall Weitere Anforderungen: - Deutsch auf Muttersprachen-Niveau - Standort Deutschland (Berlin bevorzugt, Remote möglich) - Verfügbarkeit zum Start innerhalb von 1–2 Wochen und Commitment von mindestens 2 Tagen pro Woche Benefits - Attraktives Vergütungspaket mit fairem Grundretainer plus erfolgsbasiertem Bonus auf qualifizierte Meetings und Closings - Flexibles Remote-Setup mit optionalen Office-Tagen in Berlin und regelmäßigen Team-Events - Hohe Eigenverantwortung von Tag eins: du verantwortest den Outbound end-to-end, vom ersten Kontakt bis zur qualifizierten Demo - Early-Stage-Erfahrung mit der Chance, eine der zentralen Go-to-Market-Funktionen aufzubauen und zu skalieren - Du verkaufst ein Produkt, das funktioniert: klare PMF-Signale, Enterprise-Traktion und ein Gründer, der dich aktiv mit Demos, Closing und Success unterstützt Bereit, den Go-to-Market eines der vielversprechendsten AI-Startups Deutschlands mitzugestalten? Wir freuen uns auf deine Nachricht. 🚀

Overview ABOUT US Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets. POSITION SUMMARY Bayview Asset Management is seeking an Governance Risk & Compliance AI Lead to enhance the firm’s enterprise technology governance function. This role is responsible for establishing and overseeing a robust IT and Artificial Intelligence (AI) governance framework that ensures alignment with business strategy, regulatory requirements, risk management standards, and operational excellence. This Lead will oversee AI governance, model risk alignment, technology risk management, and regulatory compliance across the organization. This role serves as a key control function, partnering with IT, Risk, Compliance, Legal, Information Security, and business leadership to ensure safe, responsible, and compliant use of technology — including emerging AI and Generative AI capabilities. RESPONSIBILITIES: AI Governance Leadership - Lead enterprise IT and AI governance frameworks aligned with NIST, SCF, NYDFS, and regulatory best practices - Embed AI governance into IT, data, and enterprise risk programs - Ensure governance is scalable, repeatable, and audit-ready AI Risk & Model Governance - Partner with Model Risk Management to align with SR 11‑7 and OCC/Fed guidance - Set standards for AI/model documentation and lifecycle oversight - Govern internal, third‑party, and Generative AI solutions - Maintain AI risk taxonomy, reporting, and escalation IT & AI Risk Management - Identify, assess, and monitor IT and AI risks - Own mitigation strategies, control frameworks, and centralized risk register - Lead risk assessments, governance reviews, and control testing Regulatory, Audit & Compliance - Ensure compliance with IT and AI regulatory requirements - Establish AI compliance monitoring - Serve as primary liaison for audits and regulatory exams - Maintain documentation, evidence retention, and audit trails Policy & Control Frameworks - Develop and maintain IT and AI policies, standards, and procedures - Lead periodic reviews and operational adoption Strategy & Emerging Technology - Align governance with IT and digital transformation strategy - Provide governance review for new technology initiatives - Assess emerging AI technologies prior to adoption Third‑Party & Vendor AI Governance - Define AI governance standards for vendors - Partner with Vendor Risk to assess controls, transparency, validation, and data protections - Ensure AI‑specific contractual safeguards Metrics & Reporting - Define KPIs and KRIs for IT and AI governance - Report risk posture, compliance status, and remediation to leadership - Drive continuous improvement Stakeholder Engagement & Culture - Advise leaders on responsible AI adoption - Promote ethical technology use and risk awareness - Lead governance training and cross‑functional forums Leadership - Lead and develop the IT Governance team - Build enterprise AI governance capabilities - Establish clear accountability across IT, Risk, Compliance, and business teams SKILLS & REQUIRMENTS: - Strong knowledge of IT governance frameworks and standards (COBIT, ITIL, NIST, ISO 27001) - Proficiency with IT governance, risk, and compliance tools - Solid understanding of IT infrastructure, applications, and cybersecurity principles - Excellent written and verbal communication skills; able to convey complex concepts to non‑technical audiences - Strong analytical and critical thinking skills with sound judgment in complex situations - Proven leadership and people management capabilities - Experience leading projects and initiatives from inception through execution - Ability to manage multiple priorities in a fast‑paced environment - Demonstrated ability to develop and implement IT policies, procedures, and controls - Strong interpersonal skills with the ability to influence stakeholders at all levels - Understanding of AI/ML systems, including Generative AI and LLMs (conceptual + risk perspective; not hands-on engineering) QUALIFICATIONS: - Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. Master’s degree preferred - A minimum of 8-10 years of experience in IT governance, risk management, or a related field, with direct exposure to AI/ML governance strongly preferred - Experience with regulatory compliance and risk management in the IT domain Certifications, Licenses, and/or Registration - Certifications such as CISA, CISM, CRISC, or CGEIT are highly desirable. Location: - This role can be fully remote, however if a candidate is found in either our New York, NY office location is preferred. EEOC Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

• Advise senior leadership on emerging industry trends to support just-in-time skills adoption. • Project and recommend AI training strategy and ensure alignment to CDW’s key objectives. • Define and manage the skill profile of qualified instructors. • Assist and evaluate technical acumen of future AI instructors by participating in the recruitment process. • Identify strategic training partnership opportunities beneficial to CDW. • Leverage deep technical expertise and industry knowledge to recommend current and future areas of instruction aligned to market needs. • Serve as a Subject Matter Expert by answering technical content and learning objective questions for prospective clients during the sales process. • Engage with the broader CDW teams to understand GTM themes and apply them to curriculum design. • Serve as an internal Subject Matter Expert to align workflows and strategy around the AI portfolio. • Deliver clear, convincing, and well-organized presentations while projecting credibility and poise in highly visible or adversarial situations. • Demonstrate exceptional communication skills. • Demonstrate creativity in developing win-win solutions. • Contribute to the training strategy and ensure alignment with the company’s key objectives.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role:We are seeking a highly experienced AI Automation Lead with 8+ years of engineering experience to bridge the gap between sophisticated data ecosystems and high-performance user applications. This role is responsible for architecting and delivering our multi-agent AI strategy—moving beyond simple chatbot implementations to autonomous, stateful workflows that solve complex, real-world business problems. This individual operates as a true full-stack product engineer, equally comfortable working across frontend, backend, data orchestration, and AI systems. You will define the technical vision for AI-driven automation, ensuring solutions are scalable, production-grade, and highly available. What you’ll do:AI Architecture & Agentic Workflows - Design and implement multi-agent AI workflows that enable coordinated task execution across systems (e.g., fraud detection, risk assessment, financial modeling) - Build human-in-the-loop systems that allow users to monitor and intervene in automated processes - Integrate Snowflake Cortex for in-database AI workloads, including LLM functions, vector search, and ML processing Full-Stack Engineering - Develop complex, data-rich user interfaces using React to visualize and control AI workflows - Build scalable backend services in Python with a focus on performance, concurrency, and clean API design - Orchestrate workflows and automation pipelines using Apache Airflow Data & Infrastructure Strategy - Leverage Snowflake and dbt to ensure clean, governed, and high-performance data pipelines - Maintain infrastructure as code and CI/CD pipelines to enable reliable and rapid deployments - Optimize performance and cost of LLM usage and internal AI systems Technical Leadership - Lead architectural decisions and set engineering standards across the team - Conduct code reviews, mentor engineers, and promote a culture of ownership - Partner with Product to translate business problems into scalable automation solutions What you’ll need: - 8+ years of professional software engineering experience - Strong expertise in React with the ability to build complex, stateful UIs from scratch - Deep expertise in Python, including async programming and AI/ML frameworks - Experience building multi-agent systems or complex AI workflows (e.g., LangGraph, CrewAI, AutoGen, or similar) - Hands-on experience with Snowflake, including data modeling and AI integrations - Strong experience with Apache Airflow for workflow orchestration - Working knowledge of CI/CD pipelines and containerization (Docker, Kubernetes) - Proven ability to lead technical design and own end-to-end system delivery Nice to have: - Experience with Snowflake Cortex or in-database AI processing - Experience fine-tuning or deploying custom ML models - Background in fintech, risk, fraud, or financial systems - Experience migrating manual processes into automated AI-driven systems - Strong system design experience in distributed, production environments The profile we’re looking for:You are a full-stack AI systems architect who thrives on building end-to-end solutions—not just components. You move beyond traditional CRUD applications and focus on delivering intelligent, automated systems that solve meaningful business problems. You take ownership of both the system and the user experience, ensuring that AI capabilities are not only powerful but usable and scalable. You can take an ambiguous goal—like automating a fraud review process—and turn it into a fully functional, multi-agent system with a robust user interface in a matter of weeks. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.