• Build and nurture relationships with our Partners, proactively reaching out to partners regarding campaign performance, optimizations, updates, and opportunities.
• Ensure that our partners objectives and requirements are met by liaising between them and our internal teams (Measurement & Insights, Product Marketing, Creative Strategy, etc).
• Gain a deep understanding of our partners’ business goals and turn data into compelling stories and actionable insights to help them succeed.
• Specifically own the “how” conversation with advertisers to advise on media strategies across targeting, bidding models, creative, measurement, etc.
• Become an expert at Pinterest campaign best practices, enabling yourself to be the resource for performance related opportunities. Ensure that campaign setup is optimal. Interpret and communicate campaign results so that the customer sees impact. Evaluate if a digital media campaign is successful and how to troubleshoot. Understand how to drive results, optimize campaigns and deliver performance updates to partners. Ensure the performance metrics that were agreed upon are being met, and take action to course correct.
• Actively engaging in client meetings to understand their key objectives and challenges. Presenting and explaining complex solutions in a clear and concise manner to help partners achieve their objectives. Handle resistance, complaints, or objections from partners professionally and patiently. Cross sell and upsell opportunities that contribute to the team’s ability to exceed revenue targets.
• Understand complex processes and products, distilling them down into a digestible format for our partners’, Provide partners with guidance and expertise on product, service best practices and features. Be highly knowledgeable about all relevant Pinterest ad product features and capable of clearly explaining their benefits to a customer. Maintain up-to-date education and fluency on evolving product roadmap and iterations. Efficiently interfaces with appropriate cross-functional teams to answer product-related questions or challenges when needed.
• Pitch new performance products and campaign best practices at scale.
• Collaborate with clients to generate and optimize ad creatives using AI-driven insights, ensuring creative assets resonate with target audiences and maximize impact.
• Stay ahead of emerging AI and digital marketing trends, advocating for the adoption of new AI tools and practices to drive ongoing client success.

• Digital advertising sales experience, managing high value relationships, driving strategic learning agendas and owning client communication.
• Track record of compelling data-backed storytelling and recommendations.
• Expert in managing forecasts and achieving goals.
• Strong communication skills in person, on the phone, and through email.
• A team player who’s able to work in a fast-paced environment with technical and non-technical teams.
• Expertise in digital advertising and media sales including campaign optimization, analytical problem solving, and product/platform knowledge.
• Technical foundation with relevant experience in Search/Shopping/Display/Social advertising technologies.
• Ability to guide and enhance creative strategy using AI-generated insights, ensuring campaign assets are optimized for client objectives and audience resonance.
• Enthusiasm for keeping up with the latest AI and digital marketing trends, with a proactive approach to recommending and implementing innovative AI solutions for ongoing client impact.
• Bachelor’s degree in a relevant field such as math, economics, marketing, business, engineering, or equivalent experience.

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• Candidates must be based in Buenos Aires, Argentina. This role will require occasional travel to a Pinterest office for in-person collaboration 1–2 times every 6 months.

• Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
• Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
• Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment.
• Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.

• - 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
• • 2+ years of experience managing ML infrastructure engineers
  • End-to-End Execution: You’ve built ML systems from data ingestion to serving in production.
  • Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed.
  • BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:

• 5+ years of pre-sales engineering experience in IAM.
• Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
• Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.

• Technical Proficiency:

• Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Experience working with REST APIs, API Gateways, and SDKs.
• Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
• Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).

• Customer Engagement & Communication:

• Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
• Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
• Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.

• Strategic & Organizational Skills:

• Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

• Education & Travel:

• Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
• Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

What You’ll Be Doing

AI Transformation & Adoption

• Lead strategic AI initiatives focused on accelerating enterprise AI adoption and AI for Growth.
• Partner with Engineering, Product, Infrastructure, Security, Data, and Business leaders to identify, prioritize, and deliver high-impact AI capabilities.
• Drive adoption of AI platforms, AI agents, MCPs, developer tooling, and automation capabilities while measuring business impact and ROI.
• Build and execute multi-year AI transformation roadmaps that align with business priorities and technology strategy.

Strategic Program Leadership & Execution

• Lead complex, cross-functional technology programs from strategy through execution and operationalization.
• Translate strategic initiatives into clear execution plans with defined ownership, milestones, and measurable outcomes.
• Build integrated roadmaps, establish governance, and drive planning, dependency management, risk mitigation, and executive reporting.
• Facilitate executive reviews, drive cross-functional alignment, resolve risks, and improve execution through scalable operating mechanisms such as RAPIDs, KPIs, and operating models.
• Identify process improvements, remove execution bottlenecks, and ensure successful transition to long-term operational ownership.

AI Platform Operations & Governance

• Establish scalable operating models, governance, and lifecycle management for AI platforms and solutions, including security, compliance, operational readiness, and long-term ownership.
• Define and track executive KPIs that measure platform adoption, utilization, operational health, business impact, cost efficiency, and ROI.
• Partner with Finance and Engineering to support AI capacity planning, budgeting, and operational scaling.

What You'll Bring

• 10+ years leading large-scale, cross-functional technology transformation programs across Engineering, Infrastructure, Security, Data, AI/ML, and Product organizations.
• Proven track record of delivering complex strategic initiatives by establishing scalable operating models, governance, executive reporting, and execution frameworks.
• Strong technical acumen with the ability to influence engineering leaders, architects, and executives while translating strategy into measurable business outcomes.
• Experience leading enterprise AI initiatives, with a good understanding of AI platforms, LLMs, AI agents, MCPs, developer platforms, and enterprise AI adoption.
• Demonstrated success driving roadmap execution, organizational change, dependency management, and executive alignment across highly matrixed organizations.
• Exceptional communication and stakeholder management skills, with the ability to influence senior leaders, build consensus, and navigate ambiguity without direct authority.
• Proficiency with modern program management, analytics, and AI productivity tools, including Jira, Confluence, BI platforms, and AI-enabled collaboration tools.

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

• Assess your accounts and develop a strategy to identify and engage all buying centers
• Use a solution approach to selling and creating value for customers
• Identify the most viable use cases in each account to maximize Databricks impact
• Orchestrate and work with teams to maximize the impact on your ecosystem
• Build value with all engagements to promote successful negotiations to close point
• Promote Databricks enterprise cloud data platform powered by Apache Spark
• Be Customer focused by delivering technical and business results using the Databricks Platform
• Promote Teamwork...it makes the Dreamwork!

• You have previously worked in an early-stage company and you know how to navigate and be successful in a fast growing organization.
• Sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs and important decision-makers
• Simply articulate intricate cloud technologies and big data
• Experience exceeding sales quotas
• Success closing new business to net new accounts
• 5+ years of sales experience in SaaS/PaaS companies
• Bachelor's Degree

Sr. Solutions Architect (East Coast)

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks Certification
• Travel to customers in your region up to 30% of the time.

• Build and own the pipeline engine — architect the Manufacturing & Energy partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical.
• Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals.
• Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value Manufacturing & Energy use cases.
• Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity.
• Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly to senior partner and customer leadership.
• Orchestrate cross-functional alignment — set direction across Sales, Field Engineering, Marketing, Partner Solution Architecture, and partner leadership, resolving friction and keeping strategic deals moving.
• Apply an operator mindset with AI-driven tools to improve forecasting accuracy, pipeline quality, solution de

• 8+ years in partner/alliance sales, channel, or GTM at an enterprise software, cloud, or data company; proven track record of building partner-sourced pipeline and driving measurable revenue impact.
• Demonstrated ability to hold partners accountable and drive effective joint execution — from account planning through co-sell to closed consumption.
• Experience developing joint solutions with SI/ISV partners — translating industry use cases into repeatable, differentiated offerings.
• Track record of cross-functional leadership across Sales, Field/technical, Marketing, and partners in a matrixed environment.
• Strong executive presence — shapes a business narrative and aligns senior internal, partner, and customer stakeholders.
• Operational rigor: clean pipeline hygiene, KPI discipline, and data-driven inspection.
• Industry fluency across Manufacturing and Energy — understanding of the sector value chain and how data and AI create value across it; ability to translate industry use cases into joint partner solutions and GTM plays.
• Fluency with modern AI productivity tools to drive analysis, solution development, and operating efficiency.
• Ability to travel as needed (approximately 25–40%) for partner business reviews, account-planning workshops, industry summits, and customer/partner executive engagements.