Beacon Talent

Role Description The company is seeking a Senior Closing Manager to lead and optimize the end-to-end closing and post-closing lifecycle. This individual will combine hands-on operational leadership with process design and system optimization, ensuring loans close efficiently, meet regulatory standards, and are delivered accurately to investors. The role includes oversight of third-party partners, ownership of pipeline performance, and continuous improvement of workflows to support a scalable, high-quality operation. This is a full-time remote role. Key Responsibilities - Own and manage the closing and post-closing pipeline, ensuring timely and accurate loan funding and delivery. - Develop and implement standard operating procedures (SOPs), SLAs, QC frameworks, and checklists. - Oversee and manage third-party partners (e.g., title, settlement, fulfillment vendors) to ensure performance and quality standards are met. - Monitor and improve turn times, productivity metrics, and operational KPIs. - Conduct second-level file reviews, manage escalations, and resolve exceptions to ensure loan quality and compliance. - Collaborate with internal stakeholders (loan officers, underwriting, processing) to resolve issues impacting closings. - Continuously evaluate and enhance closing and post-closing systems and workflows to drive efficiency and reduce manual effort. - Partner with internal teams to identify opportunities for automation and long-term process improvements. - Provide training, guidance, and subject matter expertise to team members. - Ensure adherence to all federal, state, and investor guidelines. Qualifications - 10+ years of experience in mortgage closing and post-closing operations. - Demonstrated expertise across multiple loan types, including: - Conventional - Jumbo - Government (FHA, VA, USDA) - Non-QM - Proven experience developing or improving: - Workflows - SOPs - SLAs - Quality control processes - Experience managing third-party vendors and fulfillment partners. - Strong understanding of mortgage regulatory and compliance requirements. - Experience leading distributed or remote teams. - Ability to balance hands-on execution with strategic process improvement. - Familiarity with mortgage systems (e.g., LOS platforms) and workflow optimization. Ideal Candidate - Takes a process-driven, systems-oriented approach to operations. - Prioritizes scalable, long-term solutions over manual workarounds. - Thrives in a fast-paced, evolving environment. - Demonstrates strong attention to detail and commitment to quality. - Proactively identifies issues and drives continuous improvement. - Effectively manages competing priorities while maintaining high performance standards. Benefits - Meaningful equity in the organization. - Top-tier medical, vision & dental with support for dependents. - 401(k). - Flexible Time Off. - Hardware Allowance: $2,000 to fix up your workspace. - At-cost Mortgages.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are partnering with a high-growth B2B technology platform serving the architecture and design industry. The company operates the leading digital marketplace connecting designers, architects, and brands with materials and product discovery tools used across thousands of design projects globally. Due to continued growth, the team is hiring a Brand Enablement & Partnerships Specialist to strengthen relationships with brand partners and help them fully leverage the platform’s capabilities. This is a highly visible role focused on education, partner engagement, and executive-level relationship building across brand organizations and their sales rep networks. What You’ll Do - Brand Enablement & Education - Lead onboarding and enablement sessions for new brand partners and sales rep organizations - Deliver ongoing training and refreshers as partner teams evolve - Educate brand leadership on platform capabilities, tools, and ROI metrics - Executive Engagement - Present platform value and strategic insights to senior brand leadership - Communicate data-driven insights and dashboards to support business decisions - Partnership Development - Build relationships with brand executives, field reps, and industry stakeholders - Support adoption and engagement across partner organizations - Market Presence - Represent the company at industry events, conferences, and brand offices - Maintain a strong in-market presence with partners and the design community - Cross-Functional Collaboration - Work closely with Sales and Account Management teams to align on partner strategy - Ensure brand partners receive a seamless and consistent experience Qualifications - Experience working in the Architecture & Design (A&D) ecosystem, material brands, or related industries preferred - Background in partner enablement, account management, brand partnerships, or sales enablement Requirements - Strong executive presence and presentation ability - Ability to explain product value and ROI to business leaders - Excellent communication, storytelling, and training skills - Comfortable presenting insights and data to non-technical audiences - Highly organized and self-directed - Comfortable traveling to industry events and partner locations Benefits - Join a category-defining platform in the design industry - Work closely with executive brand partners and sales organizations - Blend strategy, education, and relationship building - Fully remote with meaningful industry engagement

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows. - Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes. - Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services. - Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness. - Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling). - Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes. - Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects. - Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices. Qualifications - 5+ years building data products or platforms for life sciences and/or healthcare customers. - Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership. - Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code). - Track record partnering with engineering and data teams to deliver complex, high-impact product work. - Excellent communication—credible with technical teams and clear with non-technical stakeholders. - Comfort operating in a fast-moving environment with evolving inputs and limited process. Requirements - 0→1 product experience or taking early products to scale in a regulated domain. - UX/product design sensibility with strong intuition for end-user workflows. - Prior experience in analytics, data science, or experimentation. - Familiarity with privacy, governance, and quality frameworks for sensitive datasets. Benefits - Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)

Manager, Clinical Data Science & Data Products (Applied AI) Location: U.S. Remote (with optional hybrid in a major metro)Type: Full-timeLevel: Mid–Senior (people manager / player-coach) Beacon Talent is conducting a confidential search for a venture-backed company building an applied AI + data platform used in regulated healthcare environments. The company helps technical teams access, standardize, and validate complex clinical datasets so they can develop and evaluate AI responsibly. The Role You will lead a small team responsible for turning raw clinical data into analysis- and model-ready datasets that are reliable, well-documented, and usable by both internal teams and external partners. This role blends people leadership, hands-on technical work, and program ownership across multiple concurrent data initiatives. What You’ll Do Lead delivery of clinical data products - Own dataset buildouts end-to-end: intake → profiling → transformation → validation → packaging → release. - Translate ambiguous requests into clear scopes, success criteria, milestones, and delivery plans. Manage and grow a high-performing team - Coach, develop, and support a team of data scientists/analysts; set expectations and maintain quality bars. - Hire and onboard as the team scales; establish repeatable workflows (reviews, documentation standards, runbooks). Build scalable, harmonized data foundations - Design and maintain curated clinical data layers that support repeatable analytics and ML workflows (not one-off extracts). - Partner with Engineering to productionize pipelines and implement safeguards around quality, lineage, and access controls. Work across diverse healthcare sources - Investigate and operationalize new sources as they come online (e.g., EHR extracts, claims-like feeds, clinical text, imaging metadata, device/monitoring outputs). - Ensure data integrity through profiling, anomaly detection, reconciliation, and rigorous QA. Be a technical partner to customer-facing teams - Support stakeholder communication on delivery status, limitations, and data interpretation in a clear, accessible way. - Contribute to playbooks and reusable artifacts that make delivery faster over time. What Success Looks Like - Datasets ship on time with predictable quality, strong documentation, and minimal rework. - Your team runs a consistent process for intake, transformation, validation, and release. - Internal stakeholders trust the data layers as “source of truth” for downstream analysis and product development. Qualifications Required - Experience leading teams (formal or informal), with strong project management instincts in technical environments. - Deep hands-on experience with healthcare data (EHR, claims, registries, clinical research datasets, etc.). - Strong proficiency in SQL and at least one analytics language (typically Python). - Demonstrated ability to communicate both detailed technical tradeoffs and executive-level summaries. - Strong writing/documentation skills and a quality-first mindset in regulated data contexts. Nice to have - Familiarity with common health data standards/terminologies (e.g., FHIR/HL7 concepts, ICD/CPT/LOINC/SNOMED-style vocabularies). - Experience with modern transformation tooling (e.g., dbt-like workflows), version control, and cloud data stacks. - Exposure to clinical NLP, imaging (DICOM ecosystems), or common data models (e.g., OMOP-style structures). - Startup/early-stage experience where priorities shift and you build process as you go. Working Style & Logistics - Fast-paced, iterative environment; emphasis on learning, experimentation, and continuous improvement. - Occasional in-person team gatherings (typically quarterly). Compensation Competitive base + equity + benefits (details shared during the process).

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role owns a portfolio of the company’s most strategic customers—many of whom are technical AI teams—ensuring projects launch smoothly, deliver measurable outcomes, and expand into long-term partnerships. You’ll sit at the intersection of customer success, program delivery, and product influence, partnering closely with Engineering, Data, Product, and Leadership. - Own high-stakes customer programs - Lead end-to-end delivery for complex, multi-workstream engagements—from kickoff through final readout and ongoing expansion. - Translate ambiguous customer needs into clear scopes, milestones, success metrics, and deliverables. - Run cross-functional execution (and jump in when needed) - Coordinate internal teams (Product, Data, Engineering, Operations) to hit timelines and quality bars. - Unblock execution, surface risks early, and drive resolution—occasionally getting hands-on with artifacts like analysis plans, evaluation summaries, or workflow specs. - Be the primary customer interface - Manage executive-level relationships and day-to-day stakeholders. - Set communication cadence, run steering check-ins, handle escalations, and ensure crisp alignment. - Convert insights into product leverage - Synthesize customer feedback into scalable improvements: repeatable processes, templates, playbooks, and product roadmap inputs. - Partner with Product to shape what becomes “standard” vs. bespoke. - Drive retention and growth - Own renewal readiness, account health, and expansion opportunities. - Identify upsell paths tied to value (new datasets, evaluation modules, workflow automation, added sites/teams, etc.). Qualifications - 6+ years in a client-facing role: customer success, strategic account management, solutions consulting, engagement management, or similar. - Demonstrated strength in program/project management across cross-functional technical teams. - Comfort working with complex data products (structured + unstructured; bonus for imaging, time-series, waveforms, or multimodal pipelines). - Ability to bridge technical and non-technical conversations—credible with ML/engineering and effective with senior executives. - Track record of driving retention and expansion (renewals, upsell, multi-year partnerships, or growth in account scope). - Highly organized, proactive, and effective in fast-moving, build-as-you-go environments. Requirements - Experience in regulated AI (healthcare, life sciences, fintech, insurance, public sector, etc.). - Familiarity with evaluation/validation concepts (model performance studies, monitoring, data quality frameworks, evidence generation). - Exposure to regulatory, compliance, or procurement considerations that influence adoption. - Prior work supporting consortium-style initiatives, research collaborations, or multi-stakeholder programs. Benefits - Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is ideal for a medically trained, technically strong professional who enjoys digging into complex clinical datasets, making sense of messy source systems, and shaping how clinical concepts and workflows are represented in scalable data products. - Own and drive clinical interpretation, discovery, and modeling of healthcare data from multiple source systems. - Explore and query complex healthcare data sources (EHR/EMR data, imaging, waveforms/streaming inpatient data, and clinical text) to identify, validate, and map key data structures. - Define and govern clinical vocabularies, phenotypes, and concept groupings; ensure datasets align with clinical reality and care delivery workflows. - Guide selection and application of clinical terminologies and standards (e.g., ICD, SNOMED CT, LOINC, CPT) and support harmonization/mapping strategies across systems. - Build and refine standardized clinical data models by reconciling disparate datasets and mapping source fields to shared ontologies/common data models. - Partner closely with data science and engineering to validate clinical accuracy, interpretability, and appropriate downstream use. - Create clear documentation and explain complex data structures, transformations, and informatics decisions to both technical and clinical audiences. - Support analytic programming and data QA efforts (SQL-heavy; Python/modern analytics tooling a plus). - Produce concise findings and recommendations on informatics approaches tailored to stakeholders with varying technical depth. Qualifications - Clinical + Informatics background (preferred) - Healthcare provider background (MD/DO/NP) strongly preferred; alternatively an advanced degree in a relevant clinical field, or equivalent deep clinical-domain experience. - Formal clinical informatics training or certification (e.g., fellowship, AMIA/ABMS pathway) or meaningful hands-on clinical informatics experience. Requirements - Hands-on clinical experience with strong understanding of real-world workflows and how care is captured in structured and unstructured data. - Strong SQL fluency and comfort querying EHR data; familiarity with Python and/or modern data tooling is a plus. - Expertise with clinical terminologies and data standards (e.g., LOINC, SNOMED CT, RxNorm, NDC, CPT/HCPCS) and common data models (e.g., OMOP or similar). - Experience with major EHR platforms (e.g., Epic and/or Cerner) is a plus. Working Style - Strong written communication and documentation skills. - Collaborative, cross-functional mindset; comfortable in fast-moving environments. - Organized, outcomes-oriented, and able to juggle multiple initiatives without losing rigor. - Startup/early-stage experience is helpful but not required. Working Environment & Benefits - Remote-first with flexible hours (with reasonable overlap for meetings). - Collaborative, low-ego team with strong learning culture. - Professional development support. - Occasional travel for in-person team working sessions (roughly quarterly).

This role involves leading both strategic oversight and hands-on management of third-party fulfillment providers to ensure efficient, compliant loan closing and post-closing operations. Continuously improve systems and workflows to support scalable, high-quality execution. Shape closing and post-closing infrastructure by building workflows, SOPs, SLAs, and quality control frameworks. Partner closely with engineering to design automation-first, scalable operational solutions. This is a full-time remote role.

This role involves owning loan delivery, purchase timelines, and post-closing issue resolution across investor and whole-loan channels. Accountable for ensuring that funded loans are delivered accurately, purchased efficiently, and resolved effectively when issues arise Primary owner of investor delivery operations and rebuttals Main point of contact for correspondent sellers and institutional investors Hands-on position suited for someone who has independently managed suspense pipelines and negotiated rebuttals Understanding of how post-closing execution directly impacts cash flow, counterparty confidence, and risk management Operates fully post-close, with decision-making authority once loans are funded Critical role in protecting capital and scaling delivery operations Full-time remote role