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Salesforce Data Cloud Jobs in Rochester, NY (NOW HIRING)

AI Automation Engineer

Rochester, NY · On-site

$125 - $145/hr

... autonomous and system-data work. Ship, learn where they break, ship better ones. OUTGPT ... REST APIs, webhooks, OAuth, SQL, Snowflake, Salesforce. The connective tissue of every automation ...

... cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

... cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

... cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP ... Join our team and use advanced data, AI, and emerging technologies with industry insights to help ...

Plan, manage, and write content for email marketing programs within Salesforce Marketing Cloud for ... Analytical ability to interpret data and present it in a meaningful and easily understood form

Growth Marketing Manager

Rochester, NY · On-site

$75K - $100K/yr

Plan, manage, and write content for email marketing programs within Salesforce Marketing Cloud for ... Analytical ability to interpret data and present it in a meaningful and easily understood form

Showing results 21-26

Salesforce Data Cloud information

See Rochester, NY salary details

$40K

$97.5K

$152.9K

How much do salesforce data cloud jobs pay per year?

As of Aug 23, 2026, the average yearly pay for salesforce data cloud in Rochester, NY is $97,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $117,400.00 per year, depending on experience, location, and employer.

What is a Salesforce Data Cloud?

A Salesforce Data Cloud job typically involves managing and utilizing Salesforce's Data Cloud platform to integrate, unify, and analyze customer data from various sources. Professionals in this role work to ensure data accuracy, optimize segmentation, and leverage AI-driven insights to improve business decision-making. Responsibilities may include data modeling, ETL processes, customer identity resolution, and collaboration with marketing, sales, and IT teams to drive personalized customer experiences.

What are the key skills and qualifications needed to thrive in Salesforce Data Cloud?

To thrive in a Salesforce Data Cloud role, you need a deep understanding of data management, cloud architecture, and Salesforce ecosystem integrations, usually supported by relevant experience or a degree in computer science. Proficiency with tools like Salesforce Data Cloud, SQL, ETL processes, and certifications such as Salesforce Certified Data Cloud Consultant or Salesforce Architect are often required. Strong analytical thinking, attention to detail, and excellent communication skills help with cross-functional collaboration and stakeholder engagement. These skills ensure successful implementation and optimization of data solutions that drive business insights and organizational performance.

What are some typical challenges faced by professionals working with Salesforce Data Cloud, and how can candidates prepare for them?

One common challenge in a Salesforce Data Cloud role is integrating and managing large, diverse datasets from multiple sources while maintaining data quality and compliance. Professionals also need to stay updated on frequent platform updates and evolving best practices, as Salesforce rapidly enhances its cloud offerings. To prepare, candidates should develop strong problem-solving skills, pursue ongoing training, and become comfortable collaborating with IT, business, and data analytics teams. Gaining hands-on experience through projects and certifications can also help candidates adapt more easily to the dynamic and fast-paced nature of this work.

Is Salesforce Data Cloud in demand?

Salesforce Data Cloud professionals are in high demand as organizations increasingly adopt cloud-based customer data platforms to improve marketing, sales, and service operations. Skills in data integration, analytics, and Salesforce ecosystem tools enhance job prospects in this growing field.

What does the Salesforce Data Cloud do?

The Salesforce Data Cloud is a platform that consolidates and manages customer data from various sources to provide a unified view. It enables organizations to analyze and activate data for personalized marketing, sales, and service efforts, often integrating with Salesforce CRM tools. Data analysts and administrators working with Salesforce Data Cloud should have skills in data management and analytics tools.

What are the most commonly searched types of Salesforce Data Cloud jobs in Rochester, NY?

The most popular types of Salesforce Data Cloud jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Salesforce Data Cloud jobs?

Cities near Rochester, NY with the most Salesforce Data Cloud job openings:

Infographic showing various Salesforce Data Cloud job openings in Rochester, NY as of June 2026, with employment types broken down into 48% Full Time, 42% Part Time, 1% Temporary, and 9% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,544 per year, or $46.9 per hour.

AI Automation Engineer

Outfront Media

Rochester, NY • On-site

$125 - $145/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Outfront Media rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 78 rated media


Job description

What We Offer

Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits, 401(k) Plan with an Employer Match, Paid Time Off, Commuter Benefits, Educational Assistance, Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs).

About the Role

We're hiring an AI Automation Engineer to grow into one of the most interesting roles in our technology org. You'll partner with our Senior AI Automation Engineer to embed with business teams across OUTFRONT, find broken manual processes, and ship AI-powered automations that fix them. You'll spend your first year ramping fast: shipping production work from day one, learning our AWS and Microsoft stacks, building a reputation as someone who delivers. This is an engineering role first. We're hiring for software fundamentals (you can write good code, design clean APIs, debug a real production issue) and we'll teach you the rest. Power Platform, our internal AI tooling, OOH advertising — none of it is a prerequisite. We assume you'll pick those up. What we can't teach you in 90 days is the engineering chops.

You will also contribute to OUTGPT, our internal AI platform built on the Vercel AI SDK and AWS Bedrock. Early on, that means small features and integrations under review. As you grow, you'll own larger pieces.

What You'll Work On

Automation delivery alongside the Senior. Pair on stakeholder engagements early. Take the lead on your own projects as you ramp. Ship automations that real business teams use every day. AI agents and workflows. Build agents in Copilot Studio for M365-native use cases and in Bedrock for autonomous and system-data work. Ship, learn where they break, ship better ones. OUTGPT contributions. Work on features, integrations, and capabilities for our internal AI platform. Your code gets reviewed by the Lead AI Platform Engineer; your bar comes up fast. Integration work. REST APIs, webhooks, OAuth, SQL, Snowflake, Salesforce. The connective tissue of every automation we ship. Mentorship in both directions. Get mentored by the Senior and the Lead. Mentor our intern. Both will make you better.

What We're Looking For
  • 2–4 years building production software. Internships count toward the floor if the work was real and the systems shipped.
  • Strong software fundamentals. You write clean code, you reason about systems, you can debug a problem you didn't write.
  • Hands‑on experience with AI/LLMs, whether through professional work, side projects, hackathons, or coursework. You've built something that uses an LLM and learned why it's harder than it looks.
  • Practical AWS experience. Lambda, S3, RDS, IAM at minimum. You don't need to be a cloud expert; you do need to be able to ship there.
  • Proficiency in Python, TypeScript/Node, or both.
  • Comfort with SQL.
  • API integration experience. REST, JSON, OAuth basics.
  • You've connected systems and seen things break.
  • You want to be in front of customers.
  • You're comfortable sitting with a Finance lead or a Sales Ops manager, asking dumb questions, and walking away with a plan.
  • A portfolio that speaks for itself. GitHub, a side project, a deployed app, a meaningful internship — something we can look at and say "this person ships".
Nice to Have
  • Experience with Microsoft Power Platform (Copilot Studio, Power Apps, Power Automate). If you don't have it, you'll learn it.
  • Familiarity with the Vercel AI SDK, Next.js, or modern TypeScript stacks.
  • Experience with MCP, A2A, or agent frameworks.
  • Snowflake, Sigma, or modern analytics stack exposure.
  • Experience in advertising technology, particularly OOH or DOOH.
  • CS degree or equivalent technical degree. Not required if your portfolio is strong.
Tech Stack
  • AWS (Bedrock, Lambda, Step Functions, RDS)
  • TypeScript/Node
  • Python
  • Vercel AI SDK
  • Next.js
  • PostgreSQL
  • Microsoft (Copilot Studio, Power Apps, Power Automate, M365)
  • Snowflake
  • Salesforce
  • Bitbucket, Kiro, Claude Code
Reporting and Team

Reports to the VP of AI. Works alongside the Lead AI Platform Engineer (technical mentor), the Senior AI Automation Engineer (your day‑to‑day pairing partner), and an intern (your first mentee).

Salary

For New York, New Jersey, and California, the salary range for this role is $125,000-$145,000 per year. Compensation is determined during our interview process by assessing a candidate’s experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good‑faith assessment associated with this position only and is provided pursuant to the corresponding Salary Transparency Laws.

Equal Opportunity Employer Statement

OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affiative Action policy statement.

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