Enterprise Solutions Engineer - Data & BI Platform
Zoho Corporation · Austin, United States ·
- Employment
- Full time
- Category
- Solutions engineering
Zoho Corporation · Austin, United States ·
Location: Austin, TX (in-person at 979 Springdale Road, Suite 123, Austin, TX 78702)
Type: Full-Time, In-Office
About the Role
As an Enterprise Pre-Sales/ Solutions Engineer on our Data & Analytics Platform team, you will be the technical expert throughout the enterprise sales cycle; partnering with account executives and prospective customers to understand their business and technical objectives, lead discovery, and architect tailored solutions across the full data lifecycle, from ingestion and unification to analytics, activation, and AI. You will own the technical win.
You will become a trusted advisor and an expert across Zoho’s data and analytics platform. You will use this expertise to map our capabilities to enterprise requirements, demonstrate our solutions at their best, and equip stakeholders, from analysts to C-level executives, to make confident, well-informed decisions, while sharing strategic recommendations and best practices.
This is a chance to join a growing team as one of the first U.S.-based pre-sales engineers focused on our data and analytics platform. The role is built for someone who can engage credibly at the enterprise level about an end-to-end platform - not just dashboards - navigate complex, multi-stakeholder evaluations and proof-of-concepts, and who is energized by the shift toward agentic AI and wants to apply it in real, optimized customer environments. As the product line scales in the U.S., so will your opportunity for career growth and increased responsibility.
What You’ll Do
Serve as the technical expert in enterprise sales cycles, partnering with account executives to qualify opportunities, lead discovery, and drive the technical win for Zoho Analytics, DataPrep, and the wider data platform.
Lead solution architecture, proofs-of-concept (POCs), and pilots that span data sources, ingestion, the data lakehouse, unification, and downstream analysis and activation.
Build customized dashboards, reports, and data models that combine data from many enterprise applications and sources to demonstrate measurable business value.
Design semantic layers and a common object model, and demonstrate how unified business context drives trustworthy enterprise analytics and AI.
Showcase agentic AI capabilities — building, configuring, and demonstrating AI agents and AI-assisted workflows that operate over governed, unified data.
Deliver tailored product demonstrations, technical workshops, and executive presentations that show our solutions in their best capacity.
Prepare and deliver compelling technical proposals and responses to RFPs, RFIs, and security questionnaires.
Address enterprise requirements around scalability, integration, and data governance, and act as a trusted technical advisor to customer stakeholders.
Provide internal enablement to sales and technical teams who need analytics, data-engineering, or AI expertise, including how the data platform interacts with the broader Zoho ecosystem of business software.
Capture field and competitive insights and share them with product and R&D teams to influence the roadmap.
Working on onboarding sessions for new customers and serve as a bridge to our support engineers when clients need extra assistance.
What We’re Looking For:
Core Experience
Proven experience in an enterprise pre-sales / solutions engineering, technical pre-sales, or other senior, client-facing technical role — ideally selling to or supporting enterprise accounts.
Previous experience in a data analyst, data engineering, or analytics-engineering role, with a strong ability to interpret complex datasets, generate actionable insights, and communicate findings effectively.
Excellent communication and presentation skills, including product demos and presenting insights clearly through visualizations and dashboards, with the ability to explain complex technical and data concepts to non-technical audiences and C-level executives.
Comfort navigating complex, multi-stakeholder enterprise evaluations, POCs, and procurement processes.
Good to have bachelor’s degree in Computer Science or IT or a related field (or equivalent experience).
Data Platform & Engineering
Strong understanding of relational databases, data warehouses, and data lakehouse architectures, including integrating, manipulating, and modeling data from many sources.
Hands-on experience building data pipelines and ETL/ELT processes using tools such as DataPrep, Alteryx, Talend, or dbt to prepare, cleanse, and enrich data.
Familiarity with multiple ingestion patterns like real-time/streaming, batch, ETL, and zero-copy — and with first-party, third-party, cloud, and on-premise sources.
Experience designing semantic layers, common/shared data models, and reusable business context for analytics and AI.
Proficiency with programming languages such as Python and SQL.
Experience with BI and data platform products such as Zoho Analytics, Power BI, Tableau, Qlik, Snowflake, Google BigQuery, Amazon Redshift, Databricks
Ability to design and deploy reports and dashboards within a BI platform using data from a variety of sources.
AI & Agentic Tooling
Practical, hands-on experience using modern AI and agentic tools, with the ability to apply them effectively in an optimized environment and go deep when needed.
Experience building, orchestrating, or demonstrating AI agents and AI-assisted workflows — connecting them to data, APIs, MCPs and business actions.
Familiarity with data-science and machine-learning concepts such as regression, clustering, and classification, and how they enhance data analysis.
Bonus: exposure to retrieval/vectorization, prompt design, and grounding AI on governed, unified data and a semantic layer.
Data Governance
Awareness of data governance fundamentals — role-based access control, auditing, privacy, security, observability, and data cataloging — and the ability to speak to them with security-conscious customers.
Why You Should (or Shouldn’t) Apply
We are a private company with zero intention of going public. This gives us the freedom to chart our own course on product offerings, R&D priorities, and our authentic, humble, and diverse culture. If you are looking for stock options or an “exit,” you’ll be disappointed.
We prefer long-term employees and invest in our people to earn their loyalty. If you’re looking for a short-term gig, we discourage you from applying.
A genuine interest in cloud-based software is integral to success here. If you don’t enjoy enterprise software, you won’t enjoy the work.
We care most about flexibility, values, and ambition. If job titles and status are your main concerns, this isn’t the place for you.
Individuals who learn on the job and do independent research as needed are most successful here. Self-starters piece together the platform and the broader Zoho ecosystem best and fastest.
We consciously eschew the “cool tech-company” vibe because we value work-life balance and a down-to-earth culture. If a flashy campus or downtown office is important to you, you’ll likely be disappointed.
We are a low-ego company. Our people hold high expectations about doing great work, job satisfaction, and long-term work-life balance, and low expectations about hierarchy, status, and clout.
The most successful team members are:
At home in a diverse, multicultural workplace
Quick on their feet
Comfortable with ambiguity and complexity
Flexible and patient, with an “all hands on deck” attitude
Comfortable giving and receiving constructive feedback for the benefit of the team
AuthenticZoho Corp. is an equal opportunity employer and is committed to providing a work environment free of discrimination on the basis of sex, race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law.