Moss Adams

Moss Adams

Tax Manager - Private Wealth

USA CA San Francisco 50 Fremont St

Sponsorship not specified$142k-$200kDetected 3 days ago
Business DevelopmentAccountingM&ATaxRecruitingResearchCommunicationMentoringMicrosoft Office

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards.
  • Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients.
  • Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients.

Responsibilities

  • Design tax engagement processes, establishing adequate personnel and technology resources and time budgets.
  • Monitor tax engagements, lead internal team meetings, resolve scheduling conflicts, and ensure client support.
  • Identify tax training requirements, design and coordinate tax training courses for tax associates.

Requirements

  • Experience therein to include 5 years in providing federal and multi-state tax compliance and advisory services to corporations and individuals
  • and 2 years of supervising or mentoring experience.

Compensation

  • RATE OF PAY: $141,773 to $199,640 per year.

Equal opportunity

  • Baker Tilly is an equal opportunity/affirmative action employer.

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