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Lighthouse Ediscovery Jobs (NOW HIRING)

Microsoft

Solution Area Specialists IC4

Miami, FL · On-site

Deliver lighthouse wins that demonstrate real Windows AI value , converting customer outcomes into ... Master's Degree in Business Administration (i.e., MBA), Information Technology, Information ...

Key West Collection

Night Audior- Full Time

Key West, FL

$14.75 - $19.75/hr

Property Description Discover a unique opportunity to be part of the rich history of Key West at ... Bungalows, Lighthouse Hotel, Ridley House, Ella's Cottages, and Fitch Lodge. These buildings ...

New

Key West Collection

Night Audior- Full Time

Key West, FL

$14.75 - $19.75/hr

Property Description Discover a unique opportunity to be part of the rich history of Key West at ... Bungalows, Lighthouse Hotel, Ridley House, Ella's Cottages, and Fitch Lodge. These buildings ...

New

Key West Collection

Overnight Manager

Key West, FL

Property Description Discover a unique opportunity to be part of the rich history of Key West at ... Bungalows, Lighthouse Hotel, Ridley House, Ella's Cottages, and Fitch Lodge. These buildings ...

New

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Lighthouse Ediscovery information

What is a Lighthouse Ediscovery?

A Lighthouse eDiscovery job typically involves working with electronic discovery (eDiscovery) solutions to help law firms, corporations, and government agencies manage legal data. Employees may handle data collection, processing, review, and production using specialized eDiscovery tools and workflows. Roles can range from project management and technical support to data analysis and legal consulting. Lighthouse is known for offering technology-driven solutions to streamline litigation, investigations, and compliance processes.

What does a Lighthouse Ediscovery professional do?

In an eDiscovery role at Lighthouse, your daily responsibilities typically include managing client data collections, processing and culling large datasets, and supporting legal teams with document review and production. You’ll use specialized software to ensure data integrity and compliance, often collaborating closely with attorneys and IT professionals to meet tight deadlines. Expect to handle troubleshooting, workflow optimization, and frequent communication with clients to clarify project requirements. Working at Lighthouse offers exposure to complex, high-profile cases, providing a dynamic environment that encourages ongoing learning and professional growth.

What are the key skills and qualifications needed for a Lighthouse Ediscovery role?

To thrive in an eDiscovery role at Lighthouse, you need a strong background in legal processes, data analysis, and information governance, typically supported by a degree in law, computer science, or a related field. Proficiency with eDiscovery tools like Relativity, Nuix, or EnCase, as well as certifications such as ACEDS or CEDS, is often required. Excellent problem-solving, communication, and attention to detail are vital soft skills that help manage complex legal data projects and client expectations. These skills are crucial for ensuring accurate, efficient, and compliant handling of electronic evidence in high-stakes legal matters.

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Lighthouse Ediscovery jobs near you
Infographic showing various Lighthouse Ediscovery job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution.

Sr Technical Product Manager - HPC Integration

QuEra Computing, Inc.

Boston, MA • On-site

$170K - $250K/yr

Full-time

Re-posted 16 days ago

Job description

1. Mission of the Role
To define, validate, and execute the integration strategy for QuEra's quantum systems within classical HPC/AI infrastructure - identifying use cases, technical requirements, and the right ecosystem partners across the full value chain.
2. Core ResponsibilitiesA. Use Case Discovery & Technical Research
  • Deeply study academic and industry papers on quantum-classical hybrid workflows, quantum HPC/AI Data center integration, and the accelerations of AI for Science/Quantum discovery via quantum computing.
  • Identify high-value use cases (e.g., quantum chemistry, materials discovery, cryptoanalysis, optimization) relevant to HPC and AI centers
  • Translate theoretical research into practical product requirements - what integration, APIs, or software layers are needed to run these use cases.
  • Collaborate with research teams to maintain technical credibility when engaging HPC customers or partners.
  • Co-design solutions with lighthouse customers to verify the feasibility

A. Value Chain Mapping
  • Use the HPC value chain framework (hardware → integration → data center → middleware → workloads → services) to:
  • Map current players (AWS, HPE, NVIDIA, etc.) and their quantum readiness.
  • Identify where quantum computing fits within this chain (e.g., as accelerator hardware, a cloud service, or a hybrid scheduler layer).
  • Define which layers QuEra should own vs. partner - e.g.:
  • Own: Quantum hardware, quantum control stack.
  • Partner: Data center operations, cloud orchestration, middleware, hybrid execution APIs.

B. Requirements Definition
  • Gather technical and operational requirements from HPC and AI center operators:
  • Power, cooling, networking, physical integration.
  • Scheduler integration (Slurm, PBS, AWS Batch, Kubernetes).
  • Security, compliance, and monitoring needs.
  • Define product specifications for Quantum-Classical Integration Interfaces (QCII) - the APIs, SDKs, and orchestration layers that enable hybrid workloads.

C. Partner Identification & Engagement
  • Build a partner map for each value chain layer:
  • Hardware partners: compute (NVIDIA, AMD, ARM), interconnect (Infiniband), storage (DDN, AWS FSx).
  • Cloud/HPC providers: AWS, Microsoft Azure, Google Cloud, HPE Cray, NVIDIA DGX Cloud.
  • System Integrators: Dell, HPE
  • Middleware/software partners: Slurm
  • Application/industry partners
  • Lead technical discussions and joint proof-of-concept programs with selected partners.
  • Evaluate integration options - e.g., on-prem quantum node vs. cloud-connected quantum service.

D. Product Strategy & Roadmapping
  • Define a phased integration roadmap for quantum into HPC centers and AI data center:
  • Simulation stage: Run QuEra simulators on HPC clusters.
  • Hybrid orchestration stage: Enable joint scheduling of classical + quantum workloads.
  • Native quantum accelerator stage: Deploy QuEra hardware within HPC/AI center or connect over high-speed link.
  • Balance build/partner decisions at each stage, ensuring scalability and differentiation.

F. Communication & Stakeholder Management
  • Act as the bridge between technical R&D, engineering, business development, and external partners.
  • Create clear documentation (requirements docs, partner briefs, integration specs).
  • Communicate effectively with HPC operators and enterprise customers (translating quantum complexity into operational language).

3. Key Skills and BackgroundTechnical Depth: Background in physics, computer engineering, or computational science; understanding of quantum computing principles and HPC architecture (Slurm, MPI, GPUs, network topology).
Product Management: Experience defining product requirements, roadmaps, and partner strategies in deep tech or HPC environments.
Ecosystem Awareness: Knowledge of cloud and data center ecosystems - AWS, NVIDIA, Intel, HPE, etc.
Cross-Functional Leadership: Ability to collaborate with quantum hardware engineers, software developers, and business teams.
Partnering & Alliances: Experience building technical partnerships and evaluating technology fit.
Communication: Skilled at simplifying deep-technical material for non-specialist executives and partners.
4. Success Metrics
  • A complete map of the HPC/AI ecosystem relevant to quantum integration.
  • Clear technical and operational requirements for deploying QuEra hardware in HPC centers.
  • At least 2-3 strategic technical partnerships (e.g., with AWS, HPE, or NVIDIA).
  • Defined build-vs-partner strategy for each value chain layer.
  • Delivery of hybrid quantum-classical prototype or proof-of-concept within HPC environment.

The approximate base salary range for this position is $170,000-250,000.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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