Serve as the technical lead for Acceldata's Hadoop observability and open data platform in pre-sales: deliver demos, design solutions, run POCs, craft technical proposals/SOWs, collaborate with sales/product/engineering, and support closing deals while educating internal teams and producing technical documentation.
Position Summary
Acceldata is seeking a dynamic and results-oriented Sales Engineer to join our high-performing team. As a Sales Engineer, you will play a crucial role in driving the success of our Acceldata solutions (Hadoop Observability & Open Data Platform). You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively.
We’re looking for someone who can:
- Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions.
- Develop, customise, and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges.
- Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper, etc.) & their working architecture, usage & workflow.
- Hands-on experience with at least one of the following: Apache Spark, Trino, Jupyter and Airflow
- Partner with the Enterprise and Strategic Accounts teams to identify prospects’ environments and technical requirements to pursue tailored sales strategies, providing technical expertise to help close deals effectively.
- Work closely with customers to design and develop solutions tailored to their data environments and technical requirements.
- Develop comprehensive technical proposals & assist with crafting statements of work (SOWs).
- Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to stakeholders.
- Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots.
- Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success.
- Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects.
- Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.
- Partner with AE’s and sales managers to ensure deal qualification - making sure a strong solution and technical fit before significant technical investment.
What makes you the right fit for this position?
- 12+ years of experience in a SaaS and Data Industry Sales Engineering role.
- Bachelor's degree in computer science, engineering, data science, or a related field.
- Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure.
- Hands-on experience with cloud platforms, including Databricks or Snowflake.
- Hands-on experience with data observability, data monitoring, data integration, and/or data quality products.
- Strong understanding of data observability trends, challenges, & opportunities in the industry.
- Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
- Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences.
- Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions.
- Ability to analyze customer data scenarios & recommend suitable observability strategies.
- “Growth mindset” - learn from mistakes, stay positive, find a path to win, look to the future, learn from the past.
- Proactive self-starter with inherent motivation to meet and exceed performance goals.
- Ability to work in a fast-paced and dynamic team environment.
- Travel up to 50% meeting with qualified prospects as well as customers.
- Willingness to do “whatever it takes” to WIN.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills:
Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architect and build production AI security systems spanning endpoint sensors and cloud-scale infrastructure. Lead autonomous cyber defense capabilities, including detection, threat hunting, response, adversary simulation, secure agent execution, and model evaluation. Establish technical direction, benchmarks, and safety practices while mentoring senior engineers and researchers. Carry frontier AI research into the Falcon platform and represent the company through publications, open source, standards, and industry collaboration.
Top Skills:
Adversarial Machine LearningAgentic ArchitecturesCC++Cloud SecurityCyber RangesDistributed SystemsEndpoint SecurityGoGpu InferenceKernel-Mode TelemetryLarge Language Models (Llms)PythonReinforcement LearningReward ModelingRustSandboxed ExecutionSglangSIEMStreaming Data InfrastructureSynthetic DataTensorrt-LlmTritonUser-Mode TelemetryVllm
Big Data • Information Technology • Software • Analytics • Energy
Lead medium-to-large software implementation projects for utility, telecommunications, and government clients. Manage schedules, budgets, risks, requirements, design, development, testing, change control, and delivery. Coordinate technical and business teams, maintain client relationships, support estimates and statements of work, mentor project managers, and identify business-development opportunities. Projects involve AutoCAD-based design, system integrations, ERP, EAM, GIS, data management, and IT strategy.
Top Skills:
AutocadEamErpExcelGisMS OfficeMs ProjectPowerPointWord
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
