Strategic Initiatives Jobs

We're seeking a Corporate Account Executive who will fuel Asana's expansion into established books of business, uncovering hidden potential and driving exponential growth. You’ll play a crucial role in acquiring new customers and cultivating passionate advocates. You'll tackle complex deals, and your insatiable curiosity will position you as a thought leader, consistently propelling you to the top of the performance charts. We welcome those who challenge conventional wisdom and refuse to settle for the ordinary! Join Asana's sales team and become a seasoned explorer and a strategic partner for potential clients. Your contribution will be instrumental in our company's growth, while you embark on your own journey of personal and professional development. If you're eager to make a significant impact and refine your sales expertise, we're excited to connect with you! This role is based in our Chicago office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Lead full-cycle sales process for new and existing Asana customers, both through outbound and inbound opportunities in the Corporate Segment (100-1000 EE). Craft account strategies to build relationships and find opportunities with critical Asana clients Leverage customer data and industry insights to identify expansion opportunities Identify and champion high-impact use cases within different departments, driving adoption beyond initial deployment Track and measure key metrics, continuously refining your approach to maximize engagement and value realization About You 4+ years of B2B sales experience, demonstrating a proven track record of acquiring new corporate accounts A

Job Title: Executive/Personal Assistant Banding: Band 5 Location: London, Greater London Start date: ASAP Duration: 3 months Rate: £19.50 per hour Working hours: Monday to Friday, 08:30am - 16:30pm An excellent opportunity has arisen for a highly organised and proactive Executive/Personal Assistant to support two senior members of the Senior Management Team (SMT) within a fast-paced and professional environment in London. This role is ideal for a confident and experienced assistant who thrives on managing multiple priorities and providing high-level administrative support. The successful candidate will play a key role in ensuring the smooth running of day-to-day operations and supporting strategic objectives. What will your responsibilities be : The Executive/Personal Assistant will be responsible for managing complex diaries, scheduling meetings, and coordinating travel and logistics. The role includes preparing agendas, taking accurate minutes, and following up on action points. The post holder will handle confidential information with discretion, liaise with internal and external stakeholders, and support the SMT in a wide range of administrative tasks. A proactive approach to problem-solving and the ability to anticipate the needs of the team are essential. Qualifications and Experiences: Proven experience in an Executive or Personal Assistant role Strong minute-taking and diary management skills Ability to support multiple senior stakeholders simultaneously Excellent organisational and time management abilities Proficient in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) Strong written and verbal communication skills Professional, discreet, and adaptable in a dynamic environment How to apply? If you feel your expertise is suited to this role, please apply today and our specialist team will be in touch to discuss it with you in more detail. Why work with Pulse? From the moment you register with us, ou

About Teneo Teneo is the global CEO advisory firm. We partner with our clients globally to do great things for a better future. Drawing upon our global team and expansive network of senior advisors, we provide advisory services across our five business segments on a stand-alone or fully integrated basis to help our clients solve complex business challenges. Our clients include a significant number of the Fortune 100 and FTSE 100, as well as other cor­po­ra­tions, financial insti­tu­tions and organizations. Our full range of advisory services includes strategic com­mu­ni­ca­tions, investor relations, financial trans­ac­tions and restruc­tur­ing, management consulting, physical and cyber risk, orga­ni­za­tion­al design, board and executive search, geopolitics and government affairs, corporate governance and ESG. The firm has more than 1,800 employees located in 50+ offices around the world. Description: Teneo’s Investor Relations team advises clients on their ongoing engagement with the investment community, as well as on special situations. Our Investor Relations team makes sure clients have the support of their financial stakeholders both on an ongoing basis, and through major transformations. Responsibilities: Assist in the development, management, and execution of long-term IR programs for clients Collaborate closely with client account leaders to provide daily logistical and strategic IR support to clients Draft and review investor-related corporate communications materials (i.e., press releases, earnings and other conference call scripts, corporate presentations, Q&A sheets, websites, and messaging documents) Conduct industry research and analysis, including peer monitoring and targeting analyses Manage the planning of investor conferences, Analyst/Investor Days, and other industry events Develop client solutions while planning and prioritizing client activities to manage relat

Official Title: Data Specialist About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: The Data Sp

About the Role We are seeking an experienced, data-driven, and forward-thinking Digital Marketing Manager . In this role, your core focus will be leading our Answer Engine Optimization (AEO) strategy to maximize our brand's organic visibility, citations, and recommendation share across GenAI search engines (e.g., Perplexity, ChatGPT Search, Gemini, Google AI Overviews). The remaining of your focus will involve managing and optimizing paid advertising campaigns across core platforms like Meta and Google Ads to drive cohesive performance growth. We are looking for a highly logical, strategic, and pioneering talent. If you are a proactive self-starter who thrives on taking ownership of projects and leveraging data and AI tools to solve real business challenges, this is the perfect stage for you. Responsibilities AEO Strategy & Execution Formulate Blueprint: Formulate and implement comprehensive AEO tactical roadmaps to secure Appier’s brand presence and leading recommendation share across major AI search engines. Define Monitoring Metrics: Establish and track key KPIs (e.g., AI Share of Voice, Traffic Conversion from GenAI engines) to evaluate AEO effectiveness and regularly report actionable data insights to the executive team. Cross-Functional Collaboration: Act as the strategic bridge between Content and Product teams, guiding them to structure brand assets and data into formats that AI engines can easily crawl and cite. Drive Business Problem-Solving: Demonstrate high commercial acumen by proactively identifying potential issues and defining core pain points. Take ownership to lead cross-departmental projects, collaborating closely with Data Analysts (DA), Product Managers (PM), and other teams to crack business challenges and deploy pioneering market solutions. Paid Media Campaigns End-to-End Execution: Independently plan, execute, analyze, and continuously optimize paid advertising campaigns across core platforms (Meta, Google Ads, etc.) to maximize subscript

P-1405 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. The Partner Ecosystem team’s mission at Databricks is to enrich and win customer workloads through seamless integrations with strategic partners, while also widening the partner ecosystem to include new partners and data applications. This team enables seamless connectivity between Databricks and a vast range of partner applications through SQLDrivers. This vital data integration work powers the majority of the company’s Data Warehousing revenue by allowing customers to effortlessly connect their applications to Databricks SQL. In addition to that, through products like Databricks Partner Connect, we are simplifying the discovery and integration process, allowing you to seamlessly incorporate your preferred tools directly within the Databricks platform. We are seeking an experienced Senior Engineer to join our Partner Ecosystem team. In this role, you will design, develop, and maintain SQL drivers that power the majority of the data warehousing traffic and critical infrastructure components that power our partner integrations. You'll focus on optimizing SQLDri

P-1403 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and ta

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. If your ambition is matched by your

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose : We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you'

JOB SUMMARY As a member of our Strategy & Business Operations team, you will lead planning and delivery of high priority projects. Projects include accelerating new offerings, identifying and fostering new partnerships, streamlining our operating rhythm, and fostering cross-functional collaboration. The team partners with business and product leaders to drive B-Stock’s strategy, identify opportunities for growth and investment, and drive innovation and best-in-class execution across teams. You'll also raise how the team works by applying AI to accelerate research, analysis, and synthesis, building toward more automated approaches to recurring strategy and operations work over time. This person would report directly to the Vice President of Strategy & Business Operations. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Drive end-to-end strategic projects to define and accelerate the company’s top growth priorities Lead B-Stock’s foray into new segments, offerings, or partnerships leveraging the depth of B-Stock’s data, customer relationships, and network Develop strategic frameworks to identify market growth opportunities for B-Stock Help business leaders and executives make smart decisions and drive them to implementation by bringing data, analysis, and industry expertise to bear. Identify and implement AI-enabled workflows and automations within Strategy & Business Operations to compress analysis cycles and scale the team's output Design and run the operating cadence — planning cycles, business reviews, and cross-functional execution — turning strategy into delivered outcomes, not just recommendations. MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES 5+ years in a strategy, consulting, finance, or business-operations role where you personally drove problems from hypothesis to delivered result You're highly analytical and quantitatively fluent — you bring rigor to decisions and structure ambiguous problems, model in spreadshe

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Singapore, Shanghai, Beijing, Guangzhou), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose : We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—a

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Outbound Sales Development Representative at Baseten, you'll drive strategic outbound into a defined set of target accounts - partnering closely with your Account Executive to research key decision-makers and break through via cold calls, email, and LinkedIn. Together, you'll turn cold accounts into qualified pipeline. RESPONSIBILITIES Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers. Help influence Baseten's product roadmap for customers and prospects. Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten. Stay up-to-date on market trends, competition, and industry developments. Manage and document the progression of the sales pipeline. Drive pre- & post-engagement at industry events (will attend multiple events in person). REQUIREMENTS 1+ year of experience in a sales/lead generation role in a high-tech/SaaS company. Ability to develop strong, long-lasting relationships both internally and externally. Collaborative and coachable, always looking to improve your skills and impact. Ability to handle rejection and stay persistent in pursuing leads. Excellent verbal and written communication skills. A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.). Excellent time management, process, and prioritization skills. Preferred

P-1377 Mission As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving. You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue. TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks. Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. The Impact You Will Have Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems. Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embedd

P-1011 Job Location: San Francisco Bay Area, CA As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues