Account Executive Lead - LATAM - Mid Market

RTB House

Location: Brazil We Are:  RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.  Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. You Will: * Map target organizations and identify key stakeholders; * Research accounts and prepare for outreach based on client structure and potential; * Execute high-volume outbound activities (phone, email, social outreach, LinkedIn); * Use research, automation, and CRM tools to manage and track outreach; * Book meetings with decision-makers and build a strong sales pipeline from assigned deals; * Lead conversations and qualify opportunities; * Close / sign the deals. Desired Experience: * At least 2 years of experience in sales and signing deals; * Proven experience with cold calling and speaking to mid- to senior-level decision-makers; * Ability to conduct independent research and account mapping; * Understanding of the full sales process - from activity, to meetings, to conversion; * Comfortable working with outbound and productivity tools; * Sales experience in digital marketing (ideally performance marketing) will be of great benefit; * Highly motivated, proactive, resilient, coachable, and eager to learn; * Strong English language skills. We Offer: * Competitive salary and incentives plan, based on experience and increasing performance; * The joy of working and learning in one of the fastest growing sectors in online advertising; * A rewarding career in a friendly and inspiring atmosphere; * The opportunity to participate in ambitious projects in the growing, international organization; * Your ideas and creations will have a chance to make an impact and lead the market. Apply now!  You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it. Information for Applicants: Brazil

Infinite Lambda

ROLE OVERVIEW   The Data/AI Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.   The position is titled Data/AI Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda’s solutions meet client needs effectively.   LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.   DETAILED RESPONSIBILITIES   PROSPECTIVE CLIENT ENGAGEMENT * Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle; * Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively; * Work closely with the sales team to foster collaboration and develop compelling proposals that meet client expectations; * Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals; * Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity; * Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.   LEAD SALES ENGINEER STRATEGY * Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions; * Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends; * Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients; * Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning; * Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness; * Deepen subject-matter knowledge in Infinite Lambda’s key industry verticals, ensuring a strong understanding of client needs and market dynamics.   ADDITIONAL DUTIES * Work with Infinite Lambda’s executive team to help steer the company’s overall strategy in a positive direction, providing insights from solutions architect perspectives. * Represent Infinite Lambda at external conferences and events, promoting the company’s brand, thought leadership, and expertise in data and cloud engineering.   REQUIREMENTS * Education: A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred; * Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors; * Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential; * Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices; * Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders; * Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion; * Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships; * Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role. * Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...   INTERVIEW PROCESS * Intro call with TABP: 45-min * Interview with General Manager: 45-min * Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min * Cultural Chat with CEO: 45-min   Why join Infinite Lambda * We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture; * You work autonomously here in a wholesome environment and get as much paid holiday as you need; * The projects are diverse and give you plenty of opportunity to experiment with new tech; * The benefits are plenty, with work-from-home budget, a company MacBook and more on the list. ▶ ▶ Submit your CV in English in PDF. ▶ ▶ Mind that as we are an international team, internal communication is in English. ▶ ▶ In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins. We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.   Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

Databricks

P-1577 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.