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Data Optimization Jobs (NOW HIRING)

Systems PhD - Software Engineer

Seattle, WA · On-site

$196K - $233K/yr

They are seeking a Systems PhD - Software Engineer to design and implement advanced systems in areas like query optimization, distributed execution, and data security. Responsibilities : • Query ...

Systems PhD - Software Engineer

Mountain View, CA · On-site

$205K - $244K/yr

Responsibilities : • Query compilation & optimization • Distributed query execution and scheduling • Vectorized engine execution • Data security • Resource Management • Transaction ...

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Ability to implement effective data quality assurance process, data optimization, and documentation procedures * Experienced and knowledgeable in types of map services, publishing map services, and ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business ...

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

More about Data Optimization jobs
What cities are hiring for Data Optimization jobs? Cities with the most Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Data Optimization jobs? States with the most job openings for Data Optimization jobs include:
Infographic showing various Data Optimization job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 83% In-person, and 17% Remote job distribution.
Container Optimization Marketing Manager - PerfectScale by DoiT

Container Optimization Marketing Manager - PerfectScale by DoiT

DoiT

Remote

Full-time

Medical, PTO

This job post has expired today. Applications are no longer accepted.


Job description

LocationOur Container Optimization Marketing Manager - PerfectScale by DoiT, will be an integral part of our global Marketing team. This role is based remotely on the East Coast of the US, in the Central US, or in Canada.
Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The OpportunityThe Container Optimization Marketing Manager, reporting to the VP, Global Marketing, is the strategic marketing leader responsible for driving growth, pipeline, and market positioning for DoiT's Kubernetes optimization business.
This role is not simply a coordinator of campaigns. It is the centralized marketing owner of the business unit's go-to-market strategy.
You will partner directly with the Business Unit Head of Sales, Product leadership, and Marketing functional heads to define priorities, sharpen ICP focus, shape economic messaging, and orchestrate integrated programs that position PerfectScale optimization as mission-critical for modern cloud and data teams.
This role sits at the intersection of:
  • Kubernetes optimization
  • Kubernetes observability and governance
  • Performance and cost efficiency for enterprise container workloads

You are accountable for turning strategy into measurable revenue impact.
Responsibilities
1. Business Unit GTM Strategy & Centralization
  • Serve as the primary marketing lead for the PerfectScale business unit
  • Translate revenue targets and expansion goals into a unified quarterly marketing strategy
  • Define ICP segmentation across Kubernetes users, enterprise container teams, and CSP related solutions
  • Shape economic narratives around data platform waste reduction and performance optimization
  • Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative
  • Ensure PerfectScale positioning is clearly differentiated in the data optimization market

You are responsible for ensuring the business unit has focus, clarity, and a defined market story.
2. Integrated Campaign Strategy & Execution
Lead and direct cross-functional execution across:
Growth and Digital
  • Paid search around Kubernetes optimization
  • LinkedIn targeting for data engineering and FinOps leaders
  • Retargeting strategies tied to Kubernetes optimization interest
  • SDR campaign enablement and follow-up strategy

Content
  • Kubernetes optimization guides
  • Kubernetes efficiency playbooks
  • Case studies showing measurable cost reduction outcomes
  • Economic value narratives tied to cost savings

Creative
  • Campaign themes for Kubernetes optimization
  • Visual positioning aligned to enterprise Kubernetes usage

Develop and manage strategic campaign briefs that align messaging, audience, and economic value.
3. Kubernetes Optimization Demand Generation
Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem:
  • Kubernetes digital campaigns
  • Kubernetes optimization webinars
  • Executive roundtables for Kubernetes and FinOps leaders
  • Campaign landing pages tied to measurable cost outcomes
  • Content programs built around "Kubernetes optimization"

Drive performance against:
  • Marketing sourced pipeline
  • Customer expansion
  • Cost per qualified meeting
  • Pipeline velocity

4. Webinar & Thought Leadership Strategy
Move beyond one-off webinars and build a repeatable Kubernetes narrative:
  • Develop quarterly thought leadership themes around Kubernetes efficiency
  • Position PerfectScale as the intelligent optimization layer for Kubernetes
  • Align with Product and BU Sales to highlight roadmap and innovation
  • Ensure conversion from registrant to opportunity is structured and measurable

5. Performance & Revenue Accountability
Partner with Content, Growth, Sales, and RevOps to create visibility into:
  • Cost per lead and cost per meeting
  • Conversion to opportunity
  • Pipeline contributionInfluenced revenue
  • Continuously refine programs based on performance data and economic outcomes.

This role thinks in revenue impact, not campaign volume.
What Success Looks Like
  • A clearly articulated quarterly GTM strategy for PerfectScale
  • Centralized prioritization of marketing initiatives aligned to revenue
  • Measurable growth in Kubernetes-focused pipeline
  • Clear differentiation in the Kubernetes optimization market
  • Strong alignment with BU Sales and Product leadership
  • Demonstrated contribution to expansion and net new pipeline

Qualifications
  • 3 to 5 years in B2B marketing, demand generation, or product marketing
  • Experience marketing to Kubernetes engineering, container, or FinOps audiences
  • Familiarity with Kubernetes, containers, or cloud data workloads
  • Strong strategic planning capability combined with hands-on execution
  • Demonstrated success driving pipeline growth in a technical B2B environment
  • Experience partnering closely with sales leadership

Ideal Profile
  • Thinks in terms of revenue, expansion, and economic value
  • Understands enterprise data teams and cloud cost pressures
  • Comfortable owning a business unit narrative
  • Can centralize and prioritize across competing marketing inputs
  • Moves fluidly between strategy and execution
  • Data-driven and outcome-oriented

Are you a Do'er?Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we're here and happy we hit that 'apply' button.
Full-time employee benefits include:
  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

Many Do'ers, One TeamDoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
#LI-Remote

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About Do-It

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

South Haven, MI, US

Year founded

1973

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