artificial intelligence specialist

Hellyeah AI

<p><b>AI Engineer - Learn Engine: Intelligence &amp; Optimization</b></p><p>Location: San Francisco HQ; Shanghai</p><p>Address: San Francisco, California</p><p>Employment Type: Full time</p><p>Location Type: Hybrid</p><p>Department: Engineering</p><p>Compensation: San Francisco $200K - $1M + 0.5% - 3% equity</p><p>Build the brain of an autonomous growth OS. The system you create will manage millions in ad spend and get measurably smarter with every dollar. This is the moat: every competitor has humans optimizing campaigns manually. You are building the intelligence layer that compounds. The Platform engineer creates the tools; you create the decisions. Together you build something nobody else has.</p><p>Must Have</p><p>- Has built recommendation, optimization, or decision systems where outputs improve future inputs.</p><p>- Strong statistical reasoning and experimentation judgment under noisy real-world data.</p><p>- Strong LLM orchestration or agent-system experience for reasoning over campaign context.</p><p>- Can design optimization policies, scoring systems, or automated recommendation loops.</p><p>- AI-first development workflow and ability to ship production systems quickly.</p><p>Nice to Have</p><p>- Ad-tech optimization patterns: bid management, budget allocation, ROAS optimization.</p><p>- Reinforcement learning experience.</p><p>- Hyperparameter optimization experience.</p><p>- Model fine-tuning experience.</p><p>- Experience building agent-driven automation where LLM agents take actions.</p><p>- Background in growth engineering, performance marketing, or data science.</p><p>- Experience with Mastra or similar agent orchestration framework.</p><p>What You Will Own</p><p>Own the intelligence and optimization layer of Learn Engine. Build recommendation engines for bid changes, budget reallocation, pause/boost decisions, and postback optimization. Turn SSOT campaign data into high-quality optimization guidance and closed-loop decision systems. Define how the system learns from outcomes and continuously improves campaign strategy over time. This role owns decision quality, optimization policy, and learning loops, not platform plumbing or simulator infrastructure.</p><p>Pay: $200,000.00 - $1,000,000.00 per year</p><p>Work Location: In person</p>

AI Engineer - Learn Engine: Intelligence & Optimization

University of California - San Francisco

<div><p>Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.
</p><p>The Oracle Cloud AI Architect is responsible for designing, implementing AI-enabled solutions, analytics, automation, and enterprise applications across Oracle Cloud Human Capital Management (HCM), Supply Chain Management (SCM), Financials (FIN), Procurement, and related systems. This role partners with business stakeholders, operational leaders, and technical teams to design and optimize scalable solutions that improve business operations, decision-making, and user experience across the enterprise.
</p><p>The incumbent applies advanced knowledge of Oracle Cloud architecture, enterprise business processes, data management, and AI-enabled technologies to support intelligent automation, predictive analytics, reporting, workflow optimization, and enterprise data initiatives. Responsibilities include leveraging Oracle Cloud technologies such as OTBI, BI Publisher, Smart View, Fusion Data Intelligence (FDI), Fusion Analytics Warehouse (FAW), Oracle AI services, and related analytics platforms to develop integrated and secure enterprise solutions aligned with organizational goals.
</p><p>This role collaborates closely with Business Systems Analysts, ERP functional teams, developers, integration teams, and leadership to support system enhancements, enterprise integrations, data governance, testing, upgrades, and continuous improvement initiatives. The position also evaluates emerging Oracle Cloud and AI capabilities, promotes self-service analytics and automation, and supports operational excellence through scalable, compliant, and data-driven enterprise solutions.
</p><p>This position includes regular onsite work, typically 1&ndash;3 days per month. The exact schedule and frequency may be adjusted as needed to meet departmental and operational demands<br>
</p><p></p><p><b>Department Overview
</b></p><p>The Business Informatics &amp; Analysis team is responsible for delivering functional expertise, business process analysis, and application support across the enterprise&rsquo;s Oracle Cloud ERP ecosystem. This team partners with business stakeholders, technical, and cross-functional teams to ensure that Oracle ERP modules&mdash;such as Finance, Procurement, Projects, Research, Supply Chain, and Human Capital Management (HCM)&mdash;are effectively configured, optimized, and aligned with organizational objectives.
</p><p>The team provides both strategic and operational support, including requirements gathering, solution design, process improvement, system configuration, testing, reporting, and training. Their work ensures that Oracle Cloud ERP and the boundary systems it integrates with enable accurate, efficient, and scalable business operations.</p></div><p></p>
<br><div><p><b>REQUIRED QUALIFICATIONS
</b></p><ul><li>Bachelor's degree in a related area and/or equivalent experience/training.
</li><li>5+ years of experience in business transformation, value engineering, strategy, or enterprise advisory roles, preferably in healthcare or higher education environments.
</li><li>5+ experienced with Oracle Fusion applications, analytics, or AI platforms
</li><li>3+ years of dimensional and relational data modeling experience
</li><li>2+ years building and delivering LLM/GenAI solutions
</li><li>Ability to understand and model complex knowledge-intensive processes Oracle ERP data structures and business processes (Finance, SCM, Research or HCM)
</li>Familiarity with highly complex data quality and governance issues and requirements.<br>
<li>
</li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li>Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non- technical personnel at various levels in the organization.
</li><li>3+ years of experience in relational database, SQL, or system development life-cycle project; and/or equivalent experience/training.
</li><li>1+ year of experience in an organization comparable to UCSF in terms of budget, size, complexity, scope of operation, and accounting systems
</li><li>Knowledge of supply chain, human capital management, or finance systems and processes within a healthcare or higher education environment
</li><li>Certifications
</li><li>Oracle Certifications
</li><li>Lean Six Sigma Black Belt (LSSBB)
</li><li>Project Management Professional (PMP)
</li><li>Certified Business Analysis Professional (CBAP)</li></ul></div>
<br><div><div><b>About UCSF<br>
</b></div><div></div><br>
<div>The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world&rsquo;s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.<br>
</div><div></div><br>
<div><b>Pride Values<br>
</b></div><div></div><br>
<div>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence &ndash; also known as our PRIDE values .<br>
</div><div></div><br>
<div>In addition to our PRIDE values, UCSF is committed to equity &ndash; both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here .<br>
</div><div></div><br>
<div>Join us to find a rewarding career contributing to improving healthcare worldwide.<br>
</div><div></div><br>
<div><b>Equal Employment Opportunity<br>
</b></div><div></div><br>
<div><i>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.<br>
</i></div><div></div><br>
<div><div><b>Salary Information<br>
</b></div><div></div><br>
<div>The final salary and offer components are subject to additional approvals based on UC policy.<br>
</div><div></div><br>
<div>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.<br>
</div><div></div><br>
<div>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div></div><div></div>

Oracle AI Forward Engineer

Achira

<div><h1 class="jobSectionHeader"><b>Why Achira</b></h1><p>
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.</p><p>
At Achira, you&rsquo;ll operate at the frontier scale of massive compute, massive data, and massive ambition. You&rsquo;ll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We&rsquo;re looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We&rsquo;re looking for machine learning researchers who want to shape the frontier of generative models for the atomistic microcosm. You will work at the intersection of cutting-edge machine learning, statistical mechanics, and approximate bayesian inference to help us conquer sampling problems at light-speed. In addition, you&rsquo;ll collaborate with experts in chemistry and physics to invent and implement models to unlock what&rsquo;s possible for Achira&rsquo;s microscopic world models.</p><p>
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.</p><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p>
Invent advanced sampling and simulation methods that integrate probabilistic inference, deep learning, and reinforcement learning to enable efficient exploration and simulation of learned energy landscapes for molecular systems.</p></li><li><p>
Design and train frontier generative models: diffusion, autoregressive, flow-based, and latent-variable architectures.</p></li><li><p>
Build models that can map between data distributions to bridge the gap between simulation and reality.</p></li><li><p>
Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira&rsquo;s ecosystem.</p></li><li><p>
Collaborate with physicists and chemists to ensure models are grounded in real physics.</p></li><li><p>
Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About You</b></h1><ul><li><p>
Interested in building generative models that describe real matter.</p></li><li><p>
Drive to build at the frontier of what&rsquo;s possible and try out new, high-risk ideas.</p></li><li><p>
Machine learning researcher with professional experience (post-degree) in an industry setting.</p></li><li><p>
Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.</p></li><li><p>
Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.</p></li><li><p>
Proficiency in Python and modern ML frameworks (PyTorch, JAX).</p></li><li><p>
Experience collaborating on research projects across multi-person teams.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Nice to Have</b></h1><p>
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!</p><ul><li><p>
Experience working with models that operate on 3-D point clouds and dynamic data.</p></li><li><p>
Experience in sequential monte carlo methods.</p></li><li><p>
Experience with probabilistic programming.</p></li><li><p>
Experience with pre-training, mid-training, and post-training (especially reenforcement learning) parts of the model development process.</p></li><li><p>
Familiarity with statistical mechanics: working knowledge of sampling, estimators, and the Crooks/Jarzynski perspective of nonequilibrium statistical mechanics.</p></li><li><p>
Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.</p></li><li><p>
Experience working with multi-cloud distributed compute systems.</p></li><li><p>
Experience working with multi-site distributed company team.</p></li></ul><p>
Compensation Range: $164,638 - $259,000</p></div>

ML Research Scientist (MLRS) - Generative AI

Cognizant

<b>About AI & Analytics:</b> Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
<br>By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
<br><ul>
<li>Please note, this role is not able to offer visa transfer or sponsorship now or in the future*</li>
</ul>
Job Summary
<br>We are seeking an AI Architect to lead the design, development, and delivery of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. This role focuses on defining end-to-end AI/ML architecture strategy, building scalable LLM and multi-agent systems, and driving innovation using Vertex AI. You will play a key role in enabling intelligent automation through advanced AI frameworks while ensuring production readiness, governance, and business alignment. The position requires strong technical leadership, deep hands-on expertise, and client-facing consulting experience.
<br><br>
<b>In this role, you will:</b><br>
<ul>
<li>Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP.</li>
<li>Architect and implement LLM-based applications using Vertex AI services including Model Garden, Gemini API, and custom training pipelines.</li>
<li>Design and develop multi-agent AI systems using Google ADK or equivalent frameworks (LangGraph, CrewAI, AutoGen).</li>
<li>Build scalable Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search, Vector Search, and BigQuery.</li>
<li>Develop and manage LLMOps pipelines covering model versioning, evaluation, fine-tuning (SFT/RLHF/PEFT), and deployment using Vertex AI Pipelines.</li>
<li>Leverage GCP-native services (Cloud Run, GKE, Dataflow, Pub/Sub, Apigee) to design and implement AI-first platforms.</li>
<li>Provide technical leadership, mentor teams, and conduct architecture reviews ensuring governance and responsible AI practices.</li>
<li>Define reusable design patterns, best practices, and reference architectures for LLM and agentic AI solutions.</li>
<li>Collaborate with clients and stakeholders to define AI strategy, lead PoCs, solution demos, and RFP/RFI responses.</li>
<li>Drive innovation adoption by evaluating emerging AI tools, models, frameworks, and enterprise AI capabilities.</li>
</ul>
What you need to have to be considered
<br><ul>
<li>15+ years of experience in AI/ML, cloud architecture, or enterprise digital transformation roles.</li>
<li>Strong hands-on expertise in Google Cloud Platform including Vertex AI, BigQuery, Dataflow, GKE, Cloud Run, Pub/Sub, and IAM.</li>
<li>Proven experience designing and delivering production-grade Generative AI and LLM-based applications.</li>
<li>Deep knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and model evaluation strategies.</li>
<li>Experience building agentic AI systems using ADK or frameworks like LangGraph, CrewAI, or AutoGen.</li>
<li>Strong programming skills in Python with experience in MLOps tools (Vertex AI Pipelines, MLflow, Kubeflow).</li>
<li>Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.</li>
<li>Strong leadership, stakeholder engagement, and consulting experience working with enterprise clients.</li>
<li>GCP certifications (Professional Architect / ML Engineer) and experience in regulated industries are a plus.</li>
</ul>
#LI-EF1
<br>#CB
<br>#Ind123
<br>Applications will be accepted until 10 Jul 2026.
<br><br>
<b>Salary and Other Compensation:</b><br>
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
<br>This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
<br><b>Benefits:</b> Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
<br><ul>
<li>Medical/Dental/Vision/Life Insurance</li>
<li>Paid holidays plus Paid Time Off</li>
<li>401(k) plan and contributions</li>
<li>Long-term/Short-term Disability</li>
<li>Paid Parental Leave</li>
<li>Employee Stock Purchase Plan</li>
</ul>


Sr. AI Architect

Lumafield

<div>
 <p>
  <strong>
   About Lumafield:&nbsp;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lumafield was founded in 2019 to upgrade manufacturing.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We&rsquo;re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role:&nbsp;
  </strong>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  On Lumafield&rsquo;s Backend team, you work on the core of our cloud platform from REST APIs through to massively parallelized data processing pipelines operating on our X-Ray and CT image data. We leverage Python in order to move quickly but ensure that we&rsquo;re getting the most out of the language through usage of powerful frameworks and parallelism concepts. Our backend team also owns their code all the way through deployment; you&rsquo;ll work to build your code into Docker containers and deploy them to our different environments including cloud Kubernetes clusters and on-premises servers.
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     Use Python, Django and Django Rest Framework (DRF) to implement cloud backend APIs
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Use Python, Django, and Celery to implement highly parallelized large dataset processing tasks ranging up to 100s of GBs of data
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Design for and deploy your code to our AWS environment leveraging EKS, S3, CloudFront, and other AWS technologies
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Work closely with our research and algorithms team to incorporate cutting edge algorithms into our production codebases
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Get your hands dirty and build - expect to be hands-on and building regularly
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   About you:
  </strong>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     Bachelor's Degree in Engineering or related field
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.)
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Experience with large dataset processing using numpy
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Strong software engineering fundamentals including git, unit testing, pull request reviews, module/interface design, and applications using parallelism and concurrency.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Strong team collaboration, communication and interpersonal skills
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Experience with Linux server administration, network troubleshooting, docker deployments, productionizing systems
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Bonus points for:
  </strong>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     Experience with Agile Development practices
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Experience with AWS including EKS, S3, CloudFront, or similar
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Experience with image processing pipelines and/or image acquisition
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     Experience in configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <em>
   We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lumafield offers both competitive cash and equity compensation, as well as a health &amp; wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!&nbsp;
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don&rsquo;t meet every single requirement listed? We encourage you to apply anyway &ndash; If you&rsquo;re excited about our technology, the opportunity, and are eager to learn more we&rsquo;d love to hear from you!&nbsp;&nbsp;
 </p>
 <p>
  <br/>
 </p>
 <p>
  In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.&nbsp;
 </p>
 <p>
  <br/>
 </p>
 <p>
  Reach out if you want to be a part of what we are building.
 </p>
 <br/>
 <p>
  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 </p>
 <br/>
 <br/>
 The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant.
</div>


Backend Software Engineer

<div><div><p><b>BPM Overview</b></p>
<p>
At BPM, &ldquo;Because People Matter&rdquo; is more than a tagline&mdash;it&rsquo;s the foundation of everything we do. As one of the largest California-based accounting firms with professionals across the country, we bring flexibility, innovation, and a people-first mindset to our clients and teams. Our diverse client base and collaborative environment create meaningful opportunities for growth and impact</p><br>
<p></p>
<p><b>
Position Overview</b></p>
<p>
BPM is seeking a<b> Bookkeeper </b>to join our growing Client Accounting &amp; Advisory Services (CAAS) team. This role is responsible for delivering high-quality outsourced accounting and bookkeeping services to a diverse client base, while also supporting operational excellence and process improvements.</p>
<p>
This individual will bring a strong technical foundation in accounting and bookkeeping, along with a leadership presence<b> </b>helping to support team development, workflow management, and local market growth.</p>
<p>
At the Senior/Supervisor level, this role blends hands-on accounting execution with increasing responsibility in client management, team mentorship, and process leadership.</p><br>
<p></p>
<p>
Note: This is a hybrid role.</p>
</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><p></p><div><br>
<p>
Perform and oversee core bookkeeping functions, including:</p>
<ul>
<li>General ledger maintenance</li>
<li>Accounts payable/receivable</li>
<li>Bank and credit card reconciliations</li>
<li>Month-end and year-end close</li>
<li>Prepare and review financial statements and supporting schedules</li>
<li>Serve as a key point of contact for clients, ensuring timely and accurate deliverables</li>
<li>Manage multiple client engagements and prioritize deadlines in a fast-paced environment</li>
<li>Identify opportunities to improve processes, systems, and efficiencies across engagements</li>
<li>Support onboarding of new clients and implementation of accounting systems and tools</li>
<li>Provide leadership and mentorship to junior staff, including reviewing work, offering feedback, and supporting development</li>
<li>Establish a strong presence in the Sioux Falls office, contributing to team culture, collaboration, and growth initiatives</li>
<li>Collaborate cross-functionally with tax, advisory, and other internal teams</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualification:</b></h3><div>
<ul><li>Bachelor&rsquo;s degree in Accounting, Finance, or related field</li></ul><br>
<p></p>
<p>
Strong experience with:</p>
<ul>
<li>Month-end close and reconciliations</li>
<li>Financial statement preparation</li>
<li>Cloud-based accounting systems (e.g., QuickBooks, NetSuite, Sage Intacct)</li>
</ul>
<p>Proven ability to manage multiple clients and deadlines,Strong communication skills and client-facing</p>
<p>
CPA or CPA-track is a plus but not required</p>
</div><h3 class="jobSectionHeader"><b>
Why BPM:</b></h3><div>
<p><b>
What you get:</b></p><br>
<p></p>
<p><b>
Total rewards package:</b> from flexible work arrangements to personalized benefit structures and financial compensation options that give you choice and flexibility.</p><br>
<p></p>
<p><b>
Well-being resources:</b> interactive wellness platform and incentives, an employee assistance program and mental health resources, and Colleague Resource Groups (CRGs) that provide safe spaces for colleagues to share, be heard, feel valued and deepen connections.</p><br>
<p></p>
<p><b>
Balance &amp; flexibility: </b>14 Firm Holidays including 2 floating, Accrual PTO, paid family leave, winter break, summer hours, and remote work options, so you can balance challenging yourself with taking care of yourself.</p><br>
<p></p>
<p><b>
Professional development opportunities: </b>A learning culture with CPA exam resources and bonuses, tuition reimbursement, a coach program, and live classes, workshops, and seminars through BPM University.</p>
</div><h3 class="jobSectionHeader"><b>
Who is successful at BPM:</b></h3><div>
<ul><li>Caring people who put others first</li></ul>
<ul><li>Self-starters who embody the BPM entrepreneurial spirit</li></ul>
<ul><li>Authentic individuals with a diverse point of view</li></ul>
<ul><li>Lifelong learners with a drive to excel</li></ul>
<ul><li>Resilient people who rise to the occasion</li></ul>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Bookkeeper

Okta

<div><p><b>Secure Every Identity, from AI to Human</b><br>
<br>
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.<br>
<br>
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</p><br>
<p></p>
<p><b>
Okta is The World&rsquo;s Identity Company.</b> We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.</p>
<p>
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.</p>
<h2 class="jobSectionHeader"><b>
The Engineering Opportunity</b></h2>
<p>
Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The <b>Resilience Team</b> within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer.</p>
<p>
We are seeking a <b>Staff Back-End Software Engineer</b> to lead technical initiatives and own the reliability of our expanding Identity as a Service platform.</p>
<p>
In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps.</p>
<p>
We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape.</p>
<h2 class="jobSectionHeader"><b>
Job Duties and Responsibilities</b></h2>
<ul><li>Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta&rsquo;s service scale.</li>
<li>Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale.</li>
<li>Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design.</li>
<li>Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing, accelerate debugging, and optimize service reliability.</li>
<li>Conduct rigorous design and code reviews. Raise the engineering bar by implementing high-quality unit and functional tests to ensure robust programming standards.</li>
<li>Participate in and lead incident Root Cause Analysis (RCA) processes to continuously improve reliability, identify systemic weaknesses, and build long-term mitigation strategies.</li>
<li>Collaborate closely with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver highly secure and dependable software.</li>
<li>Help with mentoring new engineering hires and interns.</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Required Knowledge, Skills, and Abilities</b></h2>
<ul><li>8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus).</li>
<li>Demonstrated history of architecting, implementing, tuning, and debugging global cloud software. Deep understanding of microservices, cloud infrastructure (AWS preferred, Azure, or GCP), and modern container ecosystems (Docker, Kubernetes).</li>
<li>Proven track record of addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments.</li>
<li>Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (e.g., AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools) to drive development productivity and system optimization.</li>
<li>Outstanding communication and leadership skills with a proven ability to coordinate high-impact technical projects, manage stakeholder alignment, and influence technical direction.</li>
<li>Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued.
<p>
***The employee must be either a U.S. citizen as defined in 42 U.S. Code &sect; 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees. <b>Working on a U.S. visa does NOT qualify as a U.S. person.</b></p>
</li>
</ul><h2 class="jobSectionHeader"><b>Education and Training</b></h2>
<ul><li>B.S. or M.S. in Computer Science, a related field, or equivalent industry experience.</li>
</ul><p>
#LI-Hybrid<br>
#LI-MA1</p>
<p>
(P24485_3396786)</p><p></p><p><br>
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
</p>The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$243,000 USD<p><b>
The Okta Experience</b></p>
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul><p>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.<br>
<br>
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.<br>
<br>
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.<br>
<br>
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please</p></div>
<br><div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div><p>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</p></div></div></div></div><div></div>

Matt- Staff Software Engineer, Resiliency

Explore 23+ Artificial intelligence specialist in San Francisco this July. Find roles across top companies and apply now to boost your career.