Publié il y a 34 mois
Sales Engineer | xLake: Data & AI Platform
@ Acceldata
Kitchener, Ontario
En bref
Acceldata is hiring a Sales Engineer for its xLake data and AI platform. The role demonstrates the product to prospects, leads proofs of concept, and supports the sales team with technical expertise. Travel up to 50% for customer meetings is required.
Responsabilités :
- Deliver tailored technical demos and presentations to prospects
- Design solutions for customer data environments
- Lead proofs of concept and analyze results
- Write technical proposals and assist with SOWs
- Support sales, presales, marketing and partner teams
Résumé des exigences :
- 10+ years in sales engineering or customer-facing roles
- Bachelor's degree in computer science, engineering or data science
- Hands-on experience with AWS, GCP or Azure
- Hands-on experience with Databricks or Snowflake
- Experience with data observability, monitoring or quality products
- Travel up to 50% for customer meetings
Outils et compétences
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2024-01-20
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Ventes |
| Expérience | 10 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : modérés · route : modérés |
| Milieu de travail | Chez les clients, Domicile |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer science, Engineering, Data science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Acceldata
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform. Acceldata's solutions have been embraced by global enterprises such as Nestle, Dun & Bradstreet, Hershey, Pubmatic, HCSC, PhonePe (Walmart), TPG Telecom (Australia), Jenius Bank, Merkle, Pubmatic, and many more. Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures.
- Abonnés LinkedIn
- 80 192
- Personnes associées sur LinkedIn
- 289
- Bureaux déclarés
- 2105 S Bascom Ave, Campbell, California 95008, US
- 18th Cross Road, HSR Layout, 3rd Sector, Vault No 1090/A, Bengaluru, Karnataka 560102, IN
- Catégories d’activité
- Infrastructure
- Artificial Intelligence
- Data Management
- Enterprise Software
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- Acceldata
- Spécialités
- Data observability
- Data reliability
- Data discovery
- Data pipeline monitoring
- Data quality monitoring
- Compute performance monitoring
- Data pipeline observability
- Data quality management
- Agentic Data Management
- Agentic AI
- Data Quality
- Hybrid Cloud
- Snowflake
- Databricks
- AWS
- Azure
- and Google Cloud
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 105 560 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives. Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 201-500 employees |
| Siège social | Campbell, California |
| Type d’organisation | Privately Held |
| Spécialités | Data observabilityData reliabilityData discoveryData pipeline monitoringData quality monitoringCompute performance monitoringData pipeline observabilityData quality managementAgentic Data ManagementAgentic AI |
| Offres sur Jobsy | 10 |
| Voir la page |
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 cutting-edge xLake Platform (Cross Lake 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.
Read More: https://acceldata.io/platform
We’re looking for someone who can:
- Collaborate with Acceldata teams to help clients and partners recognize the benefits of our offerings.
- Develop, customise, and conduct tailored technical presentations and product demonstrations to prospective customers, highlighting how our solutions meet their needs.
- 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. Analyse 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 utilising 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?
- 10+ years of experience in a sales engineering role or customer-facing 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.
- Proficiency in data technologies and tools such as SQL, Python, R, data visualization tools, and data analytics platforms is a plus.
- “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.
Journal
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