Two-way sync
Changes in DealCloud or Lever instantly reflect in both systems. No stale data, no manual imports.
Keep DealCloud and Lever in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
DealCloud runs on people as much as on accounts: every contact, deal, and account has an owner, and those owners are employees whose roles, teams, and status are held in Lever. Lever is the system of record for the workforce, from new hires to promotions to departures, and often for the candidates the business is still deciding on. When the two systems are connected only by re-keying or an overnight export, they drift apart, and the CRM ends up assigning accounts to people who have left, holding territories that no longer match the org chart, and waiting days to give a new rep access.
Stacksync syncs Contact, Fund, Investment, Relationship in DealCloud with Offers, Users, Stages, Feedback in Lever field by field, in real time, and in both directions. You decide which system owns which fields, so Lever stays authoritative on roles and org structure while DealCloud keeps ownership and territory current, and Stacksync resolves conflicts by the rules you set.
A person recorded in Lever, such as a candidate or applicant, can create or update the matching contact in DealCloud, so relationship history and outreach are not rebuilt from scratch when the same individual appears in both.
When Lever records a new hire, a matching user or owner is created in DealCloud, so a new rep can start working accounts without waiting on a manual setup ticket.
When a person changes team, manager, or region in Lever, their accounts and territory assignments in DealCloud update to match, so pipeline stays with the right owner.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| DealCloud objects | Lever objects | How this pairing syncs | |
|---|---|---|---|
| User Synced with incremental and full sync. | Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Fund Synced with incremental and full sync. | Postings Job posting records with categories, apply URLs, workplace type, and requisition codes. Can be created via POST /postings and read into a warehouse for open-role reporting. | Fund is specific to DealCloud and Postings to Lever — each maps to any object or custom field on the other side. | |
| Investment Synced with incremental and full sync. | Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. | Investment is specific to DealCloud and Requisitions to Lever — each maps to any object or custom field on the other side. | |
| Relationship Synced with incremental and full sync. | Offers Offer records attached to an Opportunity with status and offer-form fields; exposed read-only through GET /opportunities/:id/offers, so they sync outbound to an HRIS or onboarding system when a candidate reaches the offer stage. | Relationship is specific to DealCloud and Offers to Lever — each maps to any object or custom field on the other side. | |
| Activity Synced with incremental and full sync. | Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. | Activity is specific to DealCloud and Stages to Lever — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. | Task is specific to DealCloud and Feedback to Lever — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is written to Lever through its API, with automatic retries and rate-limit backoff.
DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Lever connection.
Changes in DealCloud or Lever instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DealCloud or Lever data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DealCloud or Lever record.
Track your DealCloud ⇄ Lever sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DealCloud and Lever.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate DealCloud and Lever with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the DealCloud and Lever objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Lever: authenticate both systems, choose the objects to sync (such as DealCloud's User and Fund), map fields visually, and changes propagate both ways in milliseconds — no code required.
DealCloud: REST API (DealCloud Data API v2). Authentication: OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes. Lever: REST Data API (api.lever.co/v1). Authentication: API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co). Stacksync manages authentication, retries, and rate limits on both sides.
DealCloud: DealCloud's data model is fully configurable: each firm defines its own entry types (objects) and fields, so syncs map to a firm-specific schema rather than a fixed one. Lever: Webhooks cover candidate and application lifecycle events but not every object, so entities such as Postings, Requisitions, and Offers still require polling. Stacksync's field mapping accounts for these differences between DealCloud and Lever without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DealCloud and Lever records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Lever connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Lever integration in-house.
Yes — Stacksync ships production-grade connectors for both DealCloud and Lever. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 422 integrations available for DealCloud and Lever.