Anaplan

Anaplan

Level 3 Support Analyst - AI Specialist

Minneapolis, United States · Mid

Sponsorship not specified$82k-$118kDetected 10 hours ago
AWSGCPAzureGrafanaMachine LearningData AnalysisNLPLLMsRAGExcelCustomer SuccessCustomer SupportCommunicationProblem SolvingMentoringAdaptability

Stay score

odds of building a lasting career here

50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$74,2981 entry
Level II$90,1472 entries
Level III$105,9973 entries
Level IV$121,8464 entries

$8,147 more — $90,147 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $90,147 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Quality Assurance Analysts and Testers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Quality Assurance Analysts and Testers (15-1253) · Minneapolis-St. Paul-Bloomington, MN-WI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here.
  • You'll work closely with Engineering, Product, Operations, and Customer Success teams to troubleshoot, investigate, and resolve system-level challenges, with a focus on our AI solutions.
  • We hire you for who you are, and we want you to bring your authentic self to work every day!

Responsibilities

  • Investigate and diagnose complex technical issues raised through support tickets
  • Build deep product knowledge across Anaplan's platform and tools (including Grafana)
  • Lead release reviews and onboard new product features to global support teams
  • Document detailed investigations and share technical knowledge within the team
  • Drive initiatives that improve quality and efficiency
  • Lead by example in all your work
  • Provide 24/7 emergency support for critical customer issues through our on-call rotation
  • Join our global Level 3 Support team as our new AI Specialist.
  • Our Winning Culture is the engine that drives our teams of innovators.
  • Everything that makes you unique is welcome; join us and let's build what's next - together!

Requirements

  • Early-career professional with at least 2-3 years of experience in:
  • A degree in Mathematics, Physics, Electronic Engineering, Computer Science, or other technical disciplines involving large datasets
  • Fluent or professional proficiency in English
  • Experience leading smaller team projects and mentoring colleagues
  • Experience creating technical documentation and delivering training

Nice to have

  • Understanding of AI security threats and mitigation
  • Expertise in AI/ML cloud services, e.g., Azure OpenAI, AWS Bedrock, or Google Cloud AI
  • Knowledge of core ML concepts, e.g., anomaly detection
  • Experience working with monitoring tools such as Grafana (or willingness to learn)
  • Adaptability to shifting priorities and managing multiple concurrent issues
  • A team player comfortable working cross-functionally across global teams
  • Enthusiasm for customer success and delivering high-quality solutions
  • Experience with Anaplan or similar planning products

Compensation

  • $82,000 - $118,000 USD

Benefits

  • Act as an AI and Machine Learning (ML) subject matter expert
  • Work an adjusted schedule (for example, Tue-Sat or Sun-Thu) when needed to ensure global coverage
  • Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
  • Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader.

Company info

  • At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
  • What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.
  • Our customers rank among the who's who in the Fortune 50.
  • Collaborate with other teams to guide customers through complex technical solutions
  • You'll resolve the most complex technical issues our customers face, combining deep technical expertise with exceptional customer support.
  • We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.

Equal opportunity

  • Please contact us to request accommodation.

Visa & Work Authorization

  • less of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique

This listing is sourced directly from Anaplan's careers page and normalized into a canonical job model.